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@ilanman
Last active January 16, 2020 10:18
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Interactive ROC curve

This gist has the code to visually display the results of a binary classifier on tennis statistics, using an interactive ROC curve.

library(reshape)
library(ggplot2)
library(glmnet)
tennis <- read.csv('tennis_data_2013.csv')
############
## Clean the data
############
tennis$Result <- ifelse(tennis$Result==1,1,2)
which(names(tennis)=='TPW.1')
which(names(tennis)=='TPW.2')
which(names(tennis)=='FSW.1')
which(names(tennis)=='SSW.1')
which(names(tennis)=='FSW.2')
which(names(tennis)=='SSW.2')
features <- tennis[,-c(1,2,4,5,6,8,9,11,13,22,24,26,35)]
features$Gender <- as.numeric(features$Gender)
features <- features[complete.cases(features),]
feat_diff <- data.frame(V1=matrix(nrow=741,ncol=1))
for(i in 1:10){
feat_diff[,i] <- features[,i+2]-features[,i+12]
names(feat_diff)[i] <- names(features)[i+2]
}
feat_diff$Winner <- features$Result
############
## Men and Women play differently
############
clus2 <- kmeans(scale(features),2)
table(clus2$cluster,features$Gender)
############
## First Serve % is not a good indicator
############
fsp.df <- data.frame(cbind(winner=features$Result,FSP1=features$FSP.1,FSP2=features$FSP.2))
fsp.df$winner<-ifelse(fsp.df$winner==1,'Player 1','Player 2')
ggplot(fsp.df,aes(x=FSP1,y=FSP2,color=winner))+geom_point()+ylim(25,100)+
ylab("Player 2 FSP") +
xlab("Player 1 FSP") +
ggtitle("First Serve %")+
geom_vline(linetype='dotted',xintercept=62)+
geom_hline(linetype='dotted',yintercept=61)
############
## Winners + Unforced Errors are big indicators of who wins
############
wr.df <- data.frame(cbind(r=features$Result,w=features$WNR.1-features$WNR.2))
uf.df <- data.frame(cbind(r=features$Result,u=features$UFE.1-features$UFE.2))
wu.df <- data.frame(cbind(r=features$Result,w=features$WNR.1-features$WNR.2,
u=features$UFE.1-features$UFE.2))
wu.df$winner<-ifelse(wu.df$r==1,'Player 1','Player 2')
ggplot(wu.df,aes(x=w,y=u,color=winner))+geom_point()+
ylim(-60,60) + xlim(-60,60) +
ylab("Unforced Error Difference") +
xlab("Winners Difference") +
ggtitle("Player 1 - Player 2 Stats\nWinners and Unforced Errors")+
geom_vline(linetype='dotted')+
geom_hline(linetype='dotted')
############
## Break Points are most important single variable
############
str(features)
ind <- sample(nrow(features),2/3*nrow(features))
train <- features[ind,]
test <- features[-ind,]
train.y <- train$Result
test.y <- test$Result
train <- scale(train[,-2])
test <- scale(test[,-2])
train.x <- as.matrix(train)
test.x <- as.matrix(test)
cv <- cv.glmnet(train.x,train.y, family='binomial',alpha=1,type.measure='class')
l <- cv$lambda.min
fits <- glmnet(train.x,train.y,family='binomial',alpha=1,nlambda=100)
glm.pred <- predict(fits,newx=test.x,s=l,standarize=FALSE,type='class')
table(test.y,glm.pred)
cos <- coef(fits,l)
vimp <- order(abs(cos),decreasing=TRUE)
num_nonzero <- sum(!abs(cos)==0)
top_vars <- row.names(cos)[vimp][1:num_nonzero]
top_vars
############
## Confusion matrices
############
wu.mod <- with(features,data.frame(cbind(Result,BPC.1,BPC.2)))
wu.fit <- glm(Result-1~.,data=wu.mod,family='binomial')
table(wu.mod$Result,ifelse(predict(wu.fit,type='response')>=0.5,2,1))
bpc.mod <- data.frame(cbind(train.y,BPC.1=train.x[,7]))
bpc.fit <- glm(train.y-1~.,data=wu.mod,family='binomial')
bpc.pred <- predict(wu.fit,newdata=data.frame(test.x),type='response')
ufe.mod <- data.frame(cbind(train.y,UFE.1=train.x[,6]))
ufe.fit <- glm(train.y-1~.,data=ufe.mod,family='binomial')
ufe.pred <- predict(ufe.fit,newdata=data.frame(test.x),type='response')
wnr.mod <- data.frame(cbind(train.y,WNR.1=train.x[,5]))
wnr.fit <- glm(train.y-1~.,data=wnr.mod,family='binomial')
wnr.pred <- predict(wnr.fit,newdata=data.frame(test.x),type='response')
fsp.mod <- data.frame(cbind(train.y,FSP.1=train.x[,1]))
fsp.fit <- glm(train.y-1~.,data=fsp.mod,family='binomial')
fsp.pred <- predict(fsp.fit,newdata=data.frame(test.x),type='response')
npw.mod <- data.frame(cbind(train.y,NPW.1=train.x[,10]))
npw.fit <- glm(train.y-1~.,data=npw.mod,family='binomial')
npw.pred <- predict(npw.fit,newdata=data.frame(test.x),type='response')
bpc.conf <- table(test.y,ifelse(bpc.pred>0.5,2,1))
wnr.conf <- table(test.y,ifelse(wnr.pred>0.5,2,1))
fsp.conf <- table(test.y,ifelse(fsp.pred>0.5,2,1))
npw.conf <- table(test.y,ifelse(npw.pred>0.5,2,1))
[{"X":"0","BPC":"0","WNR":"0","FSP":"0","NPW":"0","USELESS":"0"},
{"X":"0.001","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.001"},
{"X":"0.002","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.002"},
{"X":"0.003","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.003"},
{"X":"0.004","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.004"},
{"X":"0.005","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.005"},
{"X":"0.006","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.006"},
{"X":"0.007","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.007"},
{"X":"0.008","BPC":"0.0483871","WNR":"0.015748031","FSP":"0.015748031","NPW":"0.007874016","USELESS":"0.008"},
{"X":"0.009","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.009"},
{"X":"0.01","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.01"},
{"X":"0.011","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.011"},
{"X":"0.012","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.012"},
{"X":"0.013","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.013"},
{"X":"0.014","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.014"},
{"X":"0.015","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.015"},
{"X":"0.016","BPC":"0.23893805","WNR":"0.015873016","FSP":"0.047619048","NPW":"0.007874016","USELESS":"0.016"},
{"X":"0.017","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.017"},
{"X":"0.018","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.018"},
{"X":"0.019","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.019"},
{"X":"0.02","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.02"},
{"X":"0.021","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.021"},
{"X":"0.022","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.022"},
{"X":"0.023","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.023"},
{"X":"0.024","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.024"},
{"X":"0.025","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.062992126","NPW":"0.015873016","USELESS":"0.025"},
{"X":"0.026","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.026"},
{"X":"0.027","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.027"},
{"X":"0.028","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.028"},
{"X":"0.029","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.029"},
{"X":"0.03","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.03"},
{"X":"0.031","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.031"},
{"X":"0.032","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.032"},
{"X":"0.033","BPC":"0.23893805","WNR":"0.062992126","FSP":"0.063492063","NPW":"0.024","USELESS":"0.033"},
{"X":"0.034","BPC":"0.56880734","WNR":"0.088","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.034"},
{"X":"0.035","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.035"},
{"X":"0.036","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.036"},
{"X":"0.037","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.037"},
{"X":"0.038","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.038"},
{"X":"0.039","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.039"},
{"X":"0.04","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.04"},
{"X":"0.041","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.041"},
{"X":"0.042","BPC":"0.56880734","WNR":"0.106557377","FSP":"0.070866142","NPW":"0.039370079","USELESS":"0.042"},
{"X":"0.043","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.043"},
{"X":"0.044","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.044"},
{"X":"0.045","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.045"},
{"X":"0.046","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.046"},
{"X":"0.047","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.047"},
{"X":"0.048","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.048"},
{"X":"0.049","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.049"},
{"X":"0.05","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.05"},
{"X":"0.051","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.051"},
{"X":"0.052","BPC":"0.74766355","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.052"},
{"X":"0.053","BPC":"0.86956522","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.053"},
{"X":"0.054","BPC":"0.86956522","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.054"},
{"X":"0.055","BPC":"0.86956522","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.055"},
{"X":"0.056","BPC":"0.86956522","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.056"},
{"X":"0.057","BPC":"0.86956522","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.057"},
{"X":"0.058","BPC":"0.86956522","WNR":"0.106557377","FSP":"0.071428571","NPW":"0.039370079","USELESS":"0.058"},
{"X":"0.059","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.071428571","NPW":"0.03968254","USELESS":"0.059"},
{"X":"0.06","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.06"},
{"X":"0.061","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.061"},
{"X":"0.062","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.062"},
{"X":"0.063","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.063"},
{"X":"0.064","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.064"},
{"X":"0.065","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.065"},
{"X":"0.066","BPC":"0.86956522","WNR":"0.142857143","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.066"},
{"X":"0.067","BPC":"0.86956522","WNR":"0.201612903","FSP":"0.079365079","NPW":"0.03968254","USELESS":"0.067"},
{"X":"0.068","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.068"},
{"X":"0.069","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.069"},
{"X":"0.07","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.07"},
{"X":"0.071","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.071"},
{"X":"0.072","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.072"},
{"X":"0.073","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.073"},
{"X":"0.074","BPC":"0.86956522","WNR":"0.225806452","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.074"},
{"X":"0.075","BPC":"0.86956522","WNR":"0.253968254","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.075"},
{"X":"0.076","BPC":"0.86956522","WNR":"0.253968254","FSP":"0.079365079","NPW":"0.047244094","USELESS":"0.076"},
{"X":"0.077","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.077"},
{"X":"0.078","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.078"},
{"X":"0.079","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.079"},
{"X":"0.08","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.08"},
{"X":"0.081","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.081"},
{"X":"0.082","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.082"},
{"X":"0.083","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.079365079","NPW":"0.047619048","USELESS":"0.083"},
{"X":"0.084","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.089430894","NPW":"0.047619048","USELESS":"0.084"},
{"X":"0.085","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.089430894","NPW":"0.047619048","USELESS":"0.085"},
{"X":"0.086","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.086"},
{"X":"0.087","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.087"},
{"X":"0.088","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.088"},
{"X":"0.089","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.089"},
{"X":"0.09","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.09"},
{"X":"0.091","BPC":"0.86956522","WNR":"0.261904762","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.091"},
{"X":"0.092","BPC":"0.86956522","WNR":"0.288135593","FSP":"0.12295082","NPW":"0.047619048","USELESS":"0.092"},
{"X":"0.093","BPC":"0.86956522","WNR":"0.288135593","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.093"},
{"X":"0.094","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.094"},
{"X":"0.095","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.095"},
{"X":"0.096","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.096"},
{"X":"0.097","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.097"},
{"X":"0.098","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.098"},
{"X":"0.099","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.099"},
{"X":"0.1","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.056451613","USELESS":"0.1"},
{"X":"0.101","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.101"},
{"X":"0.102","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.102"},
{"X":"0.103","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.103"},
{"X":"0.104","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.104"},
{"X":"0.105","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.105"},
{"X":"0.106","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.106"},
{"X":"0.107","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.107"},
{"X":"0.108","BPC":"0.86956522","WNR":"0.349593496","FSP":"0.12295082","NPW":"0.079365079","USELESS":"0.108"},
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{"X":"0.995","BPC":"1","WNR":"1","FSP":"0.992125984","NPW":"0.984","USELESS":"0.995"},
{"X":"0.996","BPC":"1","WNR":"1","FSP":"0.992125984","NPW":"0.984","USELESS":"0.996"},
{"X":"0.997","BPC":"1","WNR":"1","FSP":"0.992125984","NPW":"0.984","USELESS":"0.997"},
{"X":"0.998","BPC":"1","WNR":"1","FSP":"0.992125984","NPW":"0.984","USELESS":"0.998"},
{"X":"0.999","BPC":"1","WNR":"1","FSP":"0.992125984","NPW":"0.984","USELESS":"0.999"},
{"X":"1","BPC":"1","WNR":"1","FSP":"1","NPW":"1","USELESS":"1"}]
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body { font: 12px Arial;}
path {
stroke: steelblue;
stroke-width: 3;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 2;
shape-rendering: crispEdges;
}
.d3-tip {
font-family: Verdana;
background: rgba(0, 0, 0, 0.8);
padding: 8px;
color: #fff;
z-index: 5070;
}
</style>
<body>
<div id="roc"> </div>
<script src="http://d3js.org/d3.v3.js" charset="utf-8"></script>
<script src="http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js"></script>
<script>
var margin = {top: 30, right: 20, bottom: 70, left: 70},
width = 450 - margin.left - margin.right,
height = 350 - margin.top - margin.bottom;
var x = d3.scale.linear().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5);
var valueline = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.X); })
.y(function(d) { return y(d.BPC); });
var valueline2 = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.X); })
.y(function(d) { return y(d.WNR); });
var valueline3 = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.X); })
.y(function(d) { return y(d.FSP); });
var valueline4 = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.X); })
.y(function(d) { return y(d.NPW); });
var valueline5 = d3.svg.line()
.interpolate("linear")
.x(function(d) { return x(d.X); })
.y(function(d) { return y(d.USELESS); });
var tip = d3.tip()
.attr('class', 'd3-tip')
.style("visibility","visible")
.offset([-20, 0])
.html(function(d) {
return "Break Points";
});
var tip2 = d3.tip()
.attr('class', 'd3-tip')
.style("visibility","visible")
.offset([-20, 0])
.html(function(d) {
return "Winners";
});
var tip3 = d3.tip()
.attr('class', 'd3-tip')
.style("visibility","visible")
.offset([-20, 0])
.html(function(d) {
return "First Serve %";
});
var tip4 = d3.tip()
.attr('class', 'd3-tip')
.style("visibility","visible")
.offset([-20, 0])
.html(function(d) {
return "Net Points Won";
});
var tip5 = d3.tip()
.attr('class', 'd3-tip')
.style("visibility","visible")
.offset([-20, 0])
.html(function(d) {
return "Useless model";
});
var svg = d3.select("#roc")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
d3.json('data.json',function(error,data){
x.domain([0, 1]);
y.domain([0, 1]);
svg.call(tip);
svg.call(tip2);
svg.call(tip3);
svg.call(tip4);
svg.call(tip5);
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data))
.on('mouseover', tip.show)
.on("mousemove", function(){return tip.style("top", (event.pageY-10)+"px").
style("left",(event.pageX+10)+"px");})
.on('mouseout', tip.hide);
svg.append("path")
.style("stroke", "red")
.attr("d", valueline2(data))
.on('mouseover', tip2.show)
.on("mousemove", function(){return tip2.style("top", (event.pageY-10)+"px").
style("left",(event.pageX+10)+"px");})
.on('mouseout', tip2.hide);
svg.append("path")
.style("stroke", "green")
.attr("d", valueline3(data))
.on('mouseover', tip3.show)
.on("mousemove", function(){return tip3.style("top", (event.pageY-10)+"px").
style("left",(event.pageX+10)+"px");})
.on('mouseout', tip3.hide);
svg.append("path")
.style("stroke", "purple")
.attr("d", valueline4(data))
.on('mouseover', tip4.show)
.on("mousemove", function(){return tip4.style("top", (event.pageY-10)+"px").
style("left",(event.pageX+10)+"px");})
.on('mouseout', tip4.hide);
svg.append("path")
.style("stroke", "black")
.attr("d", valueline5(data))
.on('mouseover', tip5.show)
.on("mousemove", function(){return tip5.style("top", (event.pageY-10)+"px").
style("left",(event.pageX+10)+"px");})
.on('mouseout', tip5.hide);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("x", width / 2)
.attr("y", 40 )
.style("text-anchor", "middle")
.text("1 - False Negative Rate");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left + 10 )
.attr("x", 0 - height/1.6 )
.style("font-size","12px")
.style("text-anchor", "left")
.text("True Positive Rate");
svg.append("text")
.attr("x", (width / 2))
.attr("y", 0 - (margin.top / 2))
.attr("text-anchor", "middle")
.style("font-size", "16px")
.text("ROC Curve for Tennis Stats");
});
</script>
</body>
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