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SHAP-lime.ipynb
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shap-lime.ipynb
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"metadata": {
"colab": {
"name": "SHAP-lime.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyM26CGOtHuFc2RCae+HjnaQ",
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"<a href=\"https://colab.research.google.com/gist/kiwamizamurai/71587ddd573127a9a56aae57174bacc0/shap-lime.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
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{
"cell_type": "markdown",
"metadata": {
"id": "-Ix1Dv86YcTS",
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"source": [
"## 目的\n",
"\n",
"決定木について勉強する\n",
"\n",
"feature_importanceについてそれぞれの指標をできるだけ理解する\n",
"\n",
"shapを復習する"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "r4kzW8boJq_y",
"colab_type": "text"
},
"source": [
"# Model Interpretation Frameworks\n",
"\n",
"\n",
"### SHAP\n",
"\n",
"SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see papers for details and citations).\n",
"\n",
"- https://github.com/slundberg/shap\n",
"- https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "x5yioD0WMn2G",
"colab_type": "code",
"colab": {}
},
"source": [
"pip install shap 1>/dev/null 2>/dev/null"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "9xt4kaZ5rtYq",
"colab_type": "code",
"colab": {}
},
"source": [
"pip install lime 1>/dev/null 2>/dev/null"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "nTUCfYFAEUAU",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 42
},
"outputId": "d44a455d-1c53-43ee-c10d-b34239a1033f"
},
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from collections import Counter\n",
"import shap\n",
"import seaborn as sns\n",
"sns.set()\n",
"\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"\n",
"# SHAPのPLOTはjsをつかうからそのため\n",
"shap.initjs()"
],
"execution_count": 214,
"outputs": [
{
"output_type": "display_data",
"data": {
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RegExp(\"^(data|aria)-[\"+r.ATTRIBUTE_NAME_CHAR+\"]*$\")),Properties:{accept:0,acceptCharset:0,accessKey:0,action:0,allowFullScreen:o,allowTransparency:0,alt:0,as:0,async:o,autoComplete:0,autoPlay:o,capture:o,cellPadding:0,cellSpacing:0,charSet:0,challenge:0,checked:i|o,cite:0,classID:0,className:0,cols:u,colSpan:0,content:0,contentEditable:0,contextMenu:0,controls:o,controlsList:0,coords:0,crossOrigin:0,data:0,dateTime:0,default:o,defer:o,dir:0,disabled:o,download:c,draggable:0,encType:0,form:0,formAction:0,formEncType:0,formMethod:0,formNoValidate:o,formTarget:0,frameBorder:0,headers:0,height:0,hidden:o,high:0,href:0,hrefLang:0,htmlFor:0,httpEquiv:0,icon:0,id:0,inputMode:0,integrity:0,is:0,keyParams:0,keyType:0,kind:0,label:0,lang:0,list:0,loop:o,low:0,manifest:0,marginHeight:0,marginWidth:0,max:0,maxLength:0,media:0,mediaGroup:0,method:0,min:0,minLength:0,multiple:i|o,muted:i|o,name:0,nonce:0,noValidate:o,open:o,optimum:0,pattern:0,placeholder:0,playsInline:o,poster:0,preload:0,profile:0,radioGroup:0,readOnly:o,referrerPolicy:0,rel:0,required:o,reversed:o,role:0,rows:u,rowSpan:a,sandbox:0,scope:0,scoped:o,scrolling:0,seamless:o,selected:i|o,shape:0,size:u,sizes:0,span:u,spellCheck:0,src:0,srcDoc:0,srcLang:0,srcSet:0,start:a,step:0,style:0,summary:0,tabIndex:0,target:0,title:0,type:0,useMap:0,value:0,width:0,wmode:0,wrap:0,about:0,datatype:0,inlist:0,prefix:0,property:0,resource:0,typeof:0,vocab:0,autoCapitalize:0,autoCorrect:0,autoSave:0,color:0,itemProp:0,itemScope:o,itemType:0,itemID:0,itemRef:0,results:0,security:0,unselectable:0},DOMAttributeNames:{acceptCharset:\"accept-charset\",className:\"class\",htmlFor:\"for\",httpEquiv:\"http-equiv\"},DOMPropertyNames:{},DOMMutationMethods:{value:function(t,e){if(null==e)return t.removeAttribute(\"value\");\"number\"!==t.type||!1===t.hasAttribute(\"value\")?t.setAttribute(\"value\",\"\"+e):t.validity&&!t.validity.badInput&&t.ownerDocument.activeElement!==t&&t.setAttribute(\"value\",\"\"+e)}}};t.exports=s},function(t,e,n){\"use strict\";(function(e){function r(t,e,n,r){var i=void 0===t[n];null!=e&&i&&(t[n]=o(e,!0))}var i=n(24),o=n(174),a=(n(85),n(96)),u=n(177);n(2);void 0!==e&&e.env;var c={instantiateChildren:function(t,e,n,i){if(null==t)return null;var o={};return u(t,r,o),o},updateChildren:function(t,e,n,r,u,c,s,l,f){if(e||t){var p,h;for(p in e)if(e.hasOwnProperty(p)){h=t&&t[p];var d=h&&h._currentElement,v=e[p];if(null!=h&&a(d,v))i.receiveComponent(h,v,u,l),e[p]=h;else{h&&(r[p]=i.getHostNode(h),i.unmountComponent(h,!1));var g=o(v,!0);e[p]=g;var m=i.mountComponent(g,u,c,s,l,f);n.push(m)}}for(p in t)!t.hasOwnProperty(p)||e&&e.hasOwnProperty(p)||(h=t[p],r[p]=i.getHostNode(h),i.unmountComponent(h,!1))}},unmountChildren:function(t,e){for(var n in t)if(t.hasOwnProperty(n)){var r=t[n];i.unmountComponent(r,e)}}};t.exports=c}).call(e,n(156))},function(t,e,n){\"use strict\";var r=n(82),i=n(364),o={processChildrenUpdates:i.dangerouslyProcessChildrenUpdates,replaceNodeWithMarkup:r.dangerouslyReplaceNodeWithMarkup};t.exports=o},function(t,e,n){\"use strict\";function r(t){}function i(t){return!(!t.prototype||!t.prototype.isReactComponent)}function o(t){return!(!t.prototype||!t.prototype.isPureReactComponent)}var a=n(1),u=n(3),c=n(26),s=n(87),l=n(15),f=n(88),p=n(39),h=(n(9),n(168)),d=n(24),v=n(51),g=(n(0),n(81)),m=n(96),y=(n(2),{ImpureClass:0,PureClass:1,StatelessFunctional:2});r.prototype.render=function(){var t=p.get(this)._currentElement.type,e=t(this.props,this.context,this.updater);return e};var _=1,b={construct:function(t){this._currentElement=t,this._rootNodeID=0,this._compositeType=null,this._instance=null,this._hostParent=null,this._hostContainerInfo=null,this._updateBatchNumber=null,this._pendingElement=null,this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._renderedNodeType=null,this._renderedComponent=null,this._context=null,this._mountOrder=0,this._topLevelWrapper=null,this._pendingCallbacks=null,this._calledComponentWillUnmount=!1},mountComponent:function(t,e,n,u){this._context=u,this._mountOrder=_++,this._hostParent=e,this._hostContainerInfo=n;var s,l=this._currentElement.props,f=this._processContext(u),h=this._currentElement.type,d=t.getUpdateQueue(),g=i(h),m=this._constructComponent(g,l,f,d);g||null!=m&&null!=m.render?o(h)?this._compositeType=y.PureClass:this._compositeType=y.ImpureClass:(s=m,null===m||!1===m||c.isValidElement(m)||a(\"105\",h.displayName||h.name||\"Component\"),m=new r(h),this._compositeType=y.StatelessFunctional);m.props=l,m.context=f,m.refs=v,m.updater=d,this._instance=m,p.set(m,this);var b=m.state;void 0===b&&(m.state=b=null),(\"object\"!=typeof b||Array.isArray(b))&&a(\"106\",this.getName()||\"ReactCompositeComponent\"),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1;var x;return x=m.unstable_handleError?this.performInitialMountWithErrorHandling(s,e,n,t,u):this.performInitialMount(s,e,n,t,u),m.componentDidMount&&t.getReactMountReady().enqueue(m.componentDidMount,m),x},_constructComponent:function(t,e,n,r){return this._constructComponentWithoutOwner(t,e,n,r)},_constructComponentWithoutOwner:function(t,e,n,r){var i=this._currentElement.type;return t?new i(e,n,r):i(e,n,r)},performInitialMountWithErrorHandling:function(t,e,n,r,i){var o,a=r.checkpoint();try{o=this.performInitialMount(t,e,n,r,i)}catch(u){r.rollback(a),this._instance.unstable_handleError(u),this._pendingStateQueue&&(this._instance.state=this._processPendingState(this._instance.props,this._instance.context)),a=r.checkpoint(),this._renderedComponent.unmountComponent(!0),r.rollback(a),o=this.performInitialMount(t,e,n,r,i)}return o},performInitialMount:function(t,e,n,r,i){var o=this._instance,a=0;o.componentWillMount&&(o.componentWillMount(),this._pendingStateQueue&&(o.state=this._processPendingState(o.props,o.context))),void 0===t&&(t=this._renderValidatedComponent());var u=h.getType(t);this._renderedNodeType=u;var c=this._instantiateReactComponent(t,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,r,e,n,this._processChildContext(i),a);return s},getHostNode:function(){return d.getHostNode(this._renderedComponent)},unmountComponent:function(t){if(this._renderedComponent){var e=this._instance;if(e.componentWillUnmount&&!e._calledComponentWillUnmount)if(e._calledComponentWillUnmount=!0,t){var n=this.getName()+\".componentWillUnmount()\";f.invokeGuardedCallback(n,e.componentWillUnmount.bind(e))}else e.componentWillUnmount();this._renderedComponent&&(d.unmountComponent(this._renderedComponent,t),this._renderedNodeType=null,this._renderedComponent=null,this._instance=null),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._pendingCallbacks=null,this._pendingElement=null,this._context=null,this._rootNodeID=0,this._topLevelWrapper=null,p.remove(e)}},_maskContext:function(t){var e=this._currentElement.type,n=e.contextTypes;if(!n)return v;var r={};for(var i in n)r[i]=t[i];return r},_processContext:function(t){var e=this._maskContext(t);return e},_processChildContext:function(t){var e,n=this._currentElement.type,r=this._instance;if(r.getChildContext&&(e=r.getChildContext()),e){\"object\"!=typeof n.childContextTypes&&a(\"107\",this.getName()||\"ReactCompositeComponent\");for(var i in e)i in n.childContextTypes||a(\"108\",this.getName()||\"ReactCompositeComponent\",i);return u({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?d.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o&&a(\"136\",this.getName()||\"ReactCompositeComponent\");var u,c=!1;this._context===i?u=o.context:(u=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,u);var f=this._processPendingState(l,u),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,u):this._compositeType===y.PureClass&&(p=!g(s,l)||!g(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,u,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=u)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=u({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var c=r[a];u(o,\"function\"==typeof c?c.call(n,o,t,e):c)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(m(r,i))d.receiveComponent(n,i,t,this._processChildContext(e));else{var a=d.getHostNode(n);d.unmountComponent(n,!1);var u=h.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){s.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t=this._instance;return t.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==y.StatelessFunctional){l.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{l.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||!1===t||c.isValidElement(t)||a(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n&&a(\"110\");var r=e.getPublicInstance();(n.refs===v?n.refs={}:n.refs)[t]=r},detachRef:function(t){delete this.getPublicInstance().refs[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===y.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=b},function(t,e,n){\"use strict\";var r=n(4),i=n(372),o=n(167),a=n(24),u=n(12),c=n(385),s=n(401),l=n(171),f=n(408);n(2);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&($[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML)&&g(\"137\",t._tag,t._currentElement._owner?\" Check the render method of 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Y)Y.hasOwnProperty(n)&&t._wrapperState.listeners.push(M.trapBubbledEvent(n,Y[n],e));break;case\"source\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e),M.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topReset\",\"reset\",e),M.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function p(){P.postUpdateWrapper(this)}function h(t){Z.call(Q,t)||(X.test(t)||g(\"65\",t),Q[t]=!0)}function d(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function v(t){var e=t.type;h(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var g=n(1),m=n(3),y=n(346),_=n(348),b=n(20),x=n(83),w=n(21),C=n(160),k=n(22),E=n(84),M=n(53),T=n(161),S=n(4),N=n(365),A=n(366),P=n(162),O=n(369),I=(n(9),n(378)),D=n(383),R=(n(11),n(56)),L=(n(0),n(95),n(81),n(173)),U=(n(97),n(2),T),F=k.deleteListener,j=S.getNodeFromInstance,B=M.listenTo,V=E.registrationNameModules,W={string:!0,number:!0},z=\"__html\",H={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},q=11,Y={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},K={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},G={listing:!0,pre:!0,textarea:!0},$=m({menuitem:!0},K),X=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,Q={},Z={}.hasOwnProperty,J=1;v.displayName=\"ReactDOMComponent\",v.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=J++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(f,this);break;case\"input\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this);break;case\"option\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o);break;case\"select\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o),t.getReactMountReady().enqueue(f,this);break;case\"textarea\":O.mountWrapper(this,o,e),o=O.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this)}i(this,o);var a,p;null!=e?(a=e._namespaceURI,p=e._tag):n._tag&&(a=n._namespaceURI,p=n._tag),(null==a||a===x.svg&&\"foreignobject\"===p)&&(a=x.html),a===x.html&&(\"svg\"===this._tag?a=x.svg:\"math\"===this._tag&&(a=x.mathml)),this._namespaceURI=a;var h;if(t.useCreateElement){var d,v=n._ownerDocument;if(a===x.html)if(\"script\"===this._tag){var g=v.createElement(\"div\"),m=this._currentElement.type;g.innerHTML=\"<\"+m+\"></\"+m+\">\",d=g.removeChild(g.firstChild)}else d=o.is?v.createElement(this._currentElement.type,o.is):v.createElement(this._currentElement.type);else d=v.createElementNS(a,this._currentElement.type);S.precacheNode(this,d),this._flags|=U.hasCachedChildNodes,this._hostParent||C.setAttributeForRoot(d),this._updateDOMProperties(null,o,t);var _=b(d);this._createInitialChildren(t,o,r,_),h=_}else{var w=this._createOpenTagMarkupAndPutListeners(t,o),k=this._createContentMarkup(t,o,r);h=!k&&K[this._tag]?w+\"/>\":w+\">\"+k+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"select\":case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return h},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(V.hasOwnProperty(r))i&&o(this,r,i,t);else{\"style\"===r&&(i&&(i=this._previousStyleCopy=m({},e.style)),i=_.createMarkupForStyles(i,this));var a=null;null!=this._tag&&d(this._tag,e)?H.hasOwnProperty(r)||(a=C.createMarkupForCustomAttribute(r,i)):a=C.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+C.createMarkupForRoot()),n+=\" \"+C.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=R(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return G[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&b.queueHTML(r,i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&b.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)b.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"option\":o=A.getHostProps(this,o),a=A.getHostProps(this,a);break;case\"select\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"textarea\":o=O.getHostProps(this,o),a=O.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":N.updateWrapper(this),L.updateValueIfChanged(this);break;case\"textarea\":O.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(p,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(\"style\"===r){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else V.hasOwnProperty(r)?t[r]&&F(this,r):d(this._tag,t)?H.hasOwnProperty(r)||C.deleteValueForAttribute(j(this),r):(w.properties[r]||w.isCustomAttribute(r))&&C.deleteValueForProperty(j(this),r);for(r in e){var c=e[r],s=\"style\"===r?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(\"style\"===r)if(c?c=this._previousStyleCopy=m({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(V.hasOwnProperty(r))c?o(this,r,c,n):s&&F(this,r);else if(d(this._tag,e))H.hasOwnProperty(r)||C.setValueForAttribute(j(this),r,c);else if(w.properties[r]||w.isCustomAttribute(r)){var l=j(this);null!=c?C.setValueForProperty(l,r,c):C.deleteValueForProperty(l,r)}}a&&_.setValueForStyles(j(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=W[typeof t.children]?t.children:null,o=W[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return j(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"input\":case\"textarea\":L.stopTracking(this);break;case\"html\":case\"head\":case\"body\":g(\"66\",this._tag)}this.unmountChildren(t),S.uncacheNode(this),k.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return j(this)}},m(v.prototype,v.Mixin,I.Mixin),t.exports=v},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(97),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" 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c=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<c.length;p++){var h=c[p];if(h!==o&&h.form===o.form){var d=l.getInstanceFromNode(h);d||a(\"90\"),f.asap(r,d)}}}return n}var a=n(1),u=n(3),c=n(160),s=n(86),l=n(4),f=n(12),p=(n(0),n(2),{getHostProps:function(t,e){var n=s.getValue(e),r=s.getChecked(e);return u({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:o.bind(t),controlled:i(e)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&c.setValueForProperty(l.getNodeFromInstance(t),\"checked\",n||!1);var r=l.getNodeFromInstance(t),i=s.getValue(e);if(null!=i)if(0===i&&\"\"===r.value)r.value=\"0\";else if(\"number\"===e.type){var o=parseFloat(r.value,10)||0;(i!=o||i==o&&r.value!=i)&&(r.value=\"\"+i)}else r.value!==\"\"+i&&(r.value=\"\"+i);else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=l.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=p},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(162),c=(n(2),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){a.getNodeFromInstance(t).setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length;return{start:o,end:o+r}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(405),l=n(172),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(1),i=n(3),o=n(82),a=n(20),u=n(4),c=n(56),s=(n(0),n(97),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var s=n._ownerDocument,l=s.createComment(o),f=s.createComment(\" /react-text \"),p=a(s.createDocumentFragment());return a.queueChild(p,a(l)),this._stringText&&a.queueChild(p,a(s.createTextNode(this._stringText))),a.queueChild(p,a(f)),u.precacheNode(this,l),this._closingComment=f,p}var h=c(this._stringText);return t.renderToStaticMarkup?h:\"\\x3c!--\"+o+\"--\\x3e\"+h+\"\\x3c!-- /react-text --\\x3e\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n&&r(\"67\",this._domID),8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(1),a=n(3),u=n(86),c=n(4),s=n(12),l=(n(0),n(2),{getHostProps:function(t,e){return null!=e.dangerouslySetInnerHTML&&o(\"91\"),a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a&&o(\"92\"),Array.isArray(c)&&(c.length<=1||o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t||c(\"33\"),\"_hostNode\"in e||c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in 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i=n(345),o=n(347),a=n(349),u=n(351),c=n(352),s=n(355),l=n(357),f=n(360),p=n(4),h=n(362),d=n(370),v=n(368),g=n(371),m=n(375),y=n(376),_=n(381),b=n(386),x=n(387),w=n(388),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof Symbol&&Symbol.for&&Symbol.for(\"react.element\")||60103;t.exports=r},function(t,e,n){\"use strict\";function r(t){i.enqueueEvents(t),i.processEventQueue(!1)}var i=n(22),o={handleTopLevel:function(t,e,n,o){r(i.extractEvents(t,e,n,o))}};t.exports=o},function(t,e,n){\"use strict\";function r(t){for(;t._hostParent;)t=t._hostParent;var e=f.getNodeFromInstance(t),n=e.parentNode;return f.getClosestInstanceFromNode(n)}function i(t,e){this.topLevelType=t,this.nativeEvent=e,this.ancestors=[]}function o(t){var e=h(t.nativeEvent),n=f.getClosestInstanceFromNode(e),i=n;do{t.ancestors.push(i),i=i&&r(i)}while(i);for(var o=0;o<t.ancestors.length;o++)n=t.ancestors[o],v._handleTopLevel(t.topLevelType,n,t.nativeEvent,h(t.nativeEvent))}function 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"metadata": {
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},
{
"cell_type": "code",
"metadata": {
"id": "JB1hLQfIX6kk",
"colab_type": "code",
"colab": {}
},
"source": [
"from matplotlib.colors import LinearSegmentedColormap\n",
"gray_cmap=LinearSegmentedColormap.from_list('gy',[(.3,.3,.3),(.8,.8,.8)], N=2) \n",
"np.random.seed(222)\n",
"\n",
"plt.rcParams[\"figure.figsize\"] = (18, 9)\n",
"plt.rcParams[\"font.size\"] = 18"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "rZWWThlzOahg",
"colab_type": "text"
},
"source": [
"### sample datasets\n",
"\n",
"- https://github.com/slundberg/shap/blob/master/shap/datasets.py\n",
"\n",
"\n",
"> imagenet50(display=False, resolution=224): \n",
"> 50種類の画像のデータ (Classification)\n",
"\n",
"> boston(display=False): \n",
"> 住宅価格のデータ (Regression)\n",
"\n",
"> linnerud(display=False): \n",
"> 生理学的特徴と運動能力のデータ (multivariate regression).\n",
"\n",
"> imdb(display=False): \n",
"> 映画レビューのデータ (Classification)\n",
"\n",
"> diabetes(display=False): \n",
"> 糖尿病患者のデータ (Regression)\n",
"\n",
"> communitiesandcrime(display=False): \n",
"> 犯罪のデータ ? \n",
"> https://www.kaggle.com/kkanda/analyzing-uci-crime-and-communities-dataset\n",
"\n",
"など"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9KV6LBePr80f",
"colab_type": "text"
},
"source": [
"# DATA\n",
"\n",
"labels is \n",
"\n",
"- False: Income <= \\$50K\n",
"- True: Income > \\$50K"
]
},
{
"cell_type": "code",
"metadata": {
"id": "bxKrQu_HvxR6",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "816feb74-f80d-4e63-c98a-53cb0b87d182"
},
"source": [
"data, labels = shap.datasets.adult(display=True)\n",
"labels = np.array([int(label) for label in labels])\n",
"\n",
"cat_cols = data.select_dtypes(['category']).columns\n",
"data[cat_cols] = data[cat_cols].apply(lambda x: x.cat.codes)\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"X_train, X_test, y_train, y_test = train_test_split(data, labels, test_size=0.3, shuffle=True, random_state=1, stratify=labels)\n",
"X_train.shape, X_test.shape"
],
"execution_count": 111,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"((22792, 12), (9769, 12))"
]
},
"metadata": {
"tags": []
},
"execution_count": 111
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "z8Q7lHbqyJ7M",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 287
},
"outputId": "f4461a94-be28-4c17-fa72-c4e8f5fea744"
},
"source": [
"data.describe()"
],
"execution_count": 120,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Age</th>\n",
" <th>Workclass</th>\n",
" <th>Education-Num</th>\n",
" <th>Marital Status</th>\n",
" <th>Occupation</th>\n",
" <th>Relationship</th>\n",
" <th>Race</th>\n",
" <th>Sex</th>\n",
" <th>Capital Gain</th>\n",
" <th>Capital Loss</th>\n",
" <th>Hours per week</th>\n",
" <th>Country</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" <td>32561.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>38.581646</td>\n",
" <td>3.868892</td>\n",
" <td>10.080679</td>\n",
" <td>2.611836</td>\n",
" <td>6.572740</td>\n",
" <td>1.446362</td>\n",
" <td>3.665858</td>\n",
" <td>0.669205</td>\n",
" <td>1077.649170</td>\n",
" <td>87.303833</td>\n",
" <td>40.437454</td>\n",
" <td>36.718866</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>13.640442</td>\n",
" <td>1.455960</td>\n",
" <td>2.572562</td>\n",
" <td>1.506222</td>\n",
" <td>4.228857</td>\n",
" <td>1.606771</td>\n",
" <td>0.848806</td>\n",
" <td>0.470506</td>\n",
" <td>7385.911621</td>\n",
" <td>403.014771</td>\n",
" <td>12.347933</td>\n",
" <td>7.823782</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>17.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>28.000000</td>\n",
" <td>4.000000</td>\n",
" <td>9.000000</td>\n",
" <td>2.000000</td>\n",
" <td>3.000000</td>\n",
" <td>0.000000</td>\n",
" <td>4.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>40.000000</td>\n",
" <td>39.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>37.000000</td>\n",
" <td>4.000000</td>\n",
" <td>10.000000</td>\n",
" <td>2.000000</td>\n",
" <td>7.000000</td>\n",
" <td>1.000000</td>\n",
" <td>4.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>40.000000</td>\n",
" <td>39.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>48.000000</td>\n",
" <td>4.000000</td>\n",
" <td>12.000000</td>\n",
" <td>4.000000</td>\n",
" <td>10.000000</td>\n",
" <td>3.000000</td>\n",
" <td>4.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>45.000000</td>\n",
" <td>39.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>90.000000</td>\n",
" <td>8.000000</td>\n",
" <td>16.000000</td>\n",
" <td>6.000000</td>\n",
" <td>14.000000</td>\n",
" <td>5.000000</td>\n",
" <td>4.000000</td>\n",
" <td>1.000000</td>\n",
" <td>99999.000000</td>\n",
" <td>4356.000000</td>\n",
" <td>99.000000</td>\n",
" <td>41.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Age Workclass ... Hours per week Country\n",
"count 32561.000000 32561.000000 ... 32561.000000 32561.000000\n",
"mean 38.581646 3.868892 ... 40.437454 36.718866\n",
"std 13.640442 1.455960 ... 12.347933 7.823782\n",
"min 17.000000 0.000000 ... 1.000000 0.000000\n",
"25% 28.000000 4.000000 ... 40.000000 39.000000\n",
"50% 37.000000 4.000000 ... 40.000000 39.000000\n",
"75% 48.000000 4.000000 ... 45.000000 39.000000\n",
"max 90.000000 8.000000 ... 99.000000 41.000000\n",
"\n",
"[8 rows x 12 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 120
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "bAP-I2p33Qcq",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 574
},
"outputId": "967abd0f-324a-498c-92a0-f2dd25bd78f6"
},
"source": [
"specific = 'Age'\n",
"sns.distplot(data[labels==1][specific], color=\"skyblue\", label=\"rich\")\n",
"sns.distplot(data[labels==0][specific], color=\"red\", label=\"non rich\")\n",
"plt.legend()"
],
"execution_count": 204,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7ff0398f5ef0>"
]
},
"metadata": {
"tags": []
},
"execution_count": 204
},
{
"output_type": "display_data",
"data": {
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BzDUUCil98ilq+cXNqnvjXTX+/V6lZp2tyN/uUvmxR6jk859WcPnjEhPiZa3N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\nIiIiIhnx/wFfhSbrrJBo1gAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1296x648 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "pTd3_yx0wJ9n",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 141
},
"outputId": "5d59c3d2-9348-4d45-8a0d-a30952f1a680"
},
"source": [
"import xgboost as xgb\n",
"\n",
"xgc = xgb.XGBClassifier(n_estimators=500, max_depth=5, base_score=0.5, objective='binary:logistic', random_state=1)\n",
"xgc.fit(X_train, y_train)"
],
"execution_count": 205,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
" colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
" learning_rate=0.1, max_delta_step=0, max_depth=5,\n",
" min_child_weight=1, missing=None, n_estimators=500, n_jobs=1,\n",
" nthread=None, objective='binary:logistic', random_state=1,\n",
" reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n",
" silent=None, subsample=1, verbosity=1)"
]
},
"metadata": {
"tags": []
},
"execution_count": 205
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "iDja6sbHwPWs",
"colab_type": "code",
"colab": {}
},
"source": [
"predictions = xgc.predict(X_test)"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "RSRUYwdmvTC-",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "2ab5eb00-455f-4a46-ec79-09a7825be121"
},
"source": [
"data_disp, labels_disp = shap.datasets.adult(display=True)\n",
"# stratifyで全体におけるラベルの分布を保持\n",
"X_train_disp, X_test_disp, y_train_disp, y_test_disp = train_test_split(data_disp, labels_disp, test_size=0.3, random_state=42)\n",
"X_train_disp.shape, X_test_disp.shape"
],
"execution_count": 207,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"((22792, 12), (9769, 12))"
]
},
"metadata": {
"tags": []
},
"execution_count": 207
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "nIXsoDAaw-B5",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 197
},
"outputId": "f60aad4a-d778-449d-96f9-c7c57f4baf25"
},
"source": [
"data_disp.head()"
],
"execution_count": 208,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Age</th>\n",
" <th>Workclass</th>\n",
" <th>Education-Num</th>\n",
" <th>Marital Status</th>\n",
" <th>Occupation</th>\n",
" <th>Relationship</th>\n",
" <th>Race</th>\n",
" <th>Sex</th>\n",
" <th>Capital Gain</th>\n",
" <th>Capital Loss</th>\n",
" <th>Hours per week</th>\n",
" <th>Country</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>39.0</td>\n",
" <td>State-gov</td>\n",
" <td>13.0</td>\n",
" <td>Never-married</td>\n",
" <td>Adm-clerical</td>\n",
" <td>Not-in-family</td>\n",
" <td>White</td>\n",
" <td>Male</td>\n",
" <td>2174.0</td>\n",
" <td>0.0</td>\n",
" <td>40.0</td>\n",
" <td>United-States</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>50.0</td>\n",
" <td>Self-emp-not-inc</td>\n",
" <td>13.0</td>\n",
" <td>Married-civ-spouse</td>\n",
" <td>Exec-managerial</td>\n",
" <td>Husband</td>\n",
" <td>White</td>\n",
" <td>Male</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>13.0</td>\n",
" <td>United-States</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>38.0</td>\n",
" <td>Private</td>\n",
" <td>9.0</td>\n",
" <td>Divorced</td>\n",
" <td>Handlers-cleaners</td>\n",
" <td>Not-in-family</td>\n",
" <td>White</td>\n",
" <td>Male</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>40.0</td>\n",
" <td>United-States</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>53.0</td>\n",
" <td>Private</td>\n",
" <td>7.0</td>\n",
" <td>Married-civ-spouse</td>\n",
" <td>Handlers-cleaners</td>\n",
" <td>Husband</td>\n",
" <td>Black</td>\n",
" <td>Male</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>40.0</td>\n",
" <td>United-States</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>28.0</td>\n",
" <td>Private</td>\n",
" <td>13.0</td>\n",
" <td>Married-civ-spouse</td>\n",
" <td>Prof-specialty</td>\n",
" <td>Wife</td>\n",
" <td>Black</td>\n",
" <td>Female</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>40.0</td>\n",
" <td>Cuba</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Age Workclass ... Hours per week Country\n",
"0 39.0 State-gov ... 40.0 United-States\n",
"1 50.0 Self-emp-not-inc ... 13.0 United-States\n",
"2 38.0 Private ... 40.0 United-States\n",
"3 53.0 Private ... 40.0 United-States\n",
"4 28.0 Private ... 40.0 Cuba\n",
"\n",
"[5 rows x 12 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 208
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "qz74ftgQxU4J",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "8aaa33c7-8f74-46d3-ae11-2c7bd0e7b77b"
},
"source": [
"labels_disp"
],
"execution_count": 209,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([False, False, False, ..., False, False, True])"
]
},
"metadata": {
"tags": []
},
"execution_count": 209
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Gk_-7Ry_deII",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 176
},
"outputId": "4e54fb60-6458-4c34-fbdf-3785d674a4a3"
},
"source": [
"class_labels = list(map(str, set(labels)))\n",
"from sklearn.metrics import classification_report\n",
"\n",
"print(classification_report(y_test, predictions, target_names=class_labels))"
],
"execution_count": 210,
"outputs": [
{
"output_type": "stream",
"text": [
" precision recall f1-score support\n",
"\n",
" 0 0.90 0.94 0.92 7417\n",
" 1 0.77 0.67 0.72 2352\n",
"\n",
" accuracy 0.87 9769\n",
" macro avg 0.83 0.80 0.82 9769\n",
"weighted avg 0.87 0.87 0.87 9769\n",
"\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hkywb0RhhE9p",
"colab_type": "text"
},
"source": [
"# Feature Importance\n",
"\n",
"- Weights: This is based on the number of times a feature appears in a tree across the ensemble of trees\n",
"\n",
"生成された全ての木に対象の変数が分岐として存在する回数\n",
"\n",
"- Gain: This is based on the average gain of splits which use the feature\n",
"\n",
"対象の変数を持つ分岐点において評価指標が平均的によくなった量\n",
"\n",
"- Coverage: This is based on the average coverage (number of samples affected) of splits which use the feature\n",
"\n",
"対象の変数を持つ分岐点の全ての木において平均的な分布量\n",
"\n",
"\n",
"ここら辺の指標は理解がすごく難しい。\n",
"\n",
"ただ、直感的にも使いやすいgainがdefaultになっているらしい\n",
"\n",
"個人的にはCoverageにはあまり意味がないのかな？と思うが、後述するカーディナリティを考慮するとweightsもgainに比べるといい指標だとは思えない\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LVsg7QxQpuvj",
"colab_type": "text"
},
"source": [
"kaggleでは興味深い話があった\n",
"\n",
"- https://www.kaggle.com/questions-and-answers/50698\n",
"\n",
"> I recently used XGBoost to generate a binary classifier for the Titanic dataset. I noticed that in the feature importances the \"Sex\" feature was of comparatively low importance, despite being the most strongly correlated feature with survival. For a random forest with default parameters the Sex feature was the most important feature. \n",
"\n",
"タイタニックデータをxbgでバイナリ分類したのちfeature importanceをみた。その結果、特徴量の１つであるSexは目的変数と高い相関があるにもかかわらず、比較的低いimportaceが得られたらしい\n",
"\n",
"これに対して気になる知見があった\n",
"\n",
"> One extra note. The importance_type API description shows all methods (\"weight”, “gain”, or “cover”). You might conclude from the description that they all may lead to a bias towards features that have higher cardinality (many levels) to have higher importance. This explains why a binary feature such as Sex may end up with artificially lower in reported importance. You may verify this with other data sets. The higher the number of levels the higher the importance tends to be. Note this is only a trend, otherwise the ranking method would be useless.\n",
"\n",
"カーディナリティによってfeature importanceにバイアスが生じる。high-cardinalityはhigh-importanceを持つ。これが原因でSexが相対的にlow-importaceになっている。\n",
"\n",
"ここでカーディナリティとは、対象の変数の多様性のこと。つまり性別のようなカテゴリカル変数よりは連続値の変数の方がカーディナリティは高い。\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "K-Q3rBA8deKc",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 653
},
"outputId": "b2821e24-6b17-488f-abfb-5577f08e589c"
},
"source": [
"fig = plt.figure()\n",
"\n",
"ax1 = fig.add_subplot(3, 1, 1)\n",
"xgb.plot_importance(xgc, importance_type='weight', ax=ax1)\n",
"t = ax1.set_title(\"Feature Weight\")\n",
"\n",
"ax2 = fig.add_subplot(3, 1, 2)\n",
"xgb.plot_importance(xgc, importance_type='gain', ax=ax2)\n",
"t = ax2.set_title(\"Split Mean Gain\")\n",
"\n",
"ax3 = fig.add_subplot(3, 1, 3)\n",
"xgb.plot_importance(xgc, importance_type='cover', ax=ax3)\n",
"t = ax3.set_title(\"Sample Coverage\")\n",
"\n",
"fig.tight_layout()"
],
"execution_count": 211,
"outputs": [
{
"output_type": "display_data",
"data": {
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K0rNnbxo0aJjTjyciIvLYUtFPREREREQeWJEiHnTvHsKBAz9gMBis7fHx12nduh1169bD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LKyntKlSw9cXFyRyzVZtCiAOXNmsmhREAAhITuIjY1h06YdGBgYMn/+tyxevIA5cxagVCrx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\n9wfGfLJ5AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1296x648 with 3 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "EdrEGdFeuyy4",
"colab_type": "text"
},
"source": [
"# SAHP"
]
},
{
"cell_type": "code",
"metadata": {
"id": "IpYBvBS2deOz",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 223
},
"outputId": "5e18dd77-5b66-4768-e30a-6012982b5002"
},
"source": [
"explainer = shap.TreeExplainer(xgc)\n",
"shap_values = explainer.shap_values(X_test)\n",
"\n",
"pd.DataFrame(shap_values).head()"
],
"execution_count": 216,
"outputs": [
{
"output_type": "display_data",
"data": {
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