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NISH1001/bulk-trainer-07-20-2022.py

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bulk-trainer-07-20-2022.py
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'micro avg': {'precision': 1.0,
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'macro avg': {'precision': 1.0,
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'weighted avg': {'precision': 1.0,
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'samples avg': {'precision': 1.0,
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'strain': {'labels': ['strain_BALBcT', 'strain_C57BL6J', 'strain_C57BL6T'],
'train_score': 1.0,
'test_score': 1.0,
'confusion_matrix': array([[226, 0, 0],
[ 0, 563, 0],
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'classification_report': {'strain_BALBcT': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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'weighted avg': {'precision': 1.0,
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'samples avg': {'precision': 1.0,
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[{'condition': {'labels': ['condition_FLT', 'condition_GC'],
'train_score': 1.0,
'test_score': 1.0,
'confusion_matrix': array([[687, 0],
[ 0, 680]]),
'classification_report': {'condition_FLT': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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'weighted avg': {'precision': 1.0,
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'samples avg': {'precision': 1.0,
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'strain': {'labels': ['strain_BALBcT', 'strain_C57BL6J', 'strain_C57BL6T'],
'train_score': 1.0,
'test_score': 1.0,
'confusion_matrix': array([[232, 0, 0],
[ 0, 602, 0],
[ 0, 0, 533]]),
'classification_report': {'strain_BALBcT': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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'weighted avg': {'precision': 1.0,
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[{'condition': {'labels': ['condition_FLT', 'condition_GC'],
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'strain': {'labels': ['strain_BALBcT', 'strain_C57BL6J', 'strain_C57BL6T'],
'train_score': 1.0,
'test_score': 0.9992684711046086,
'confusion_matrix': array([[231, 0, 0],
[ 0, 568, 0],
[ 0, 0, 568]]),
'classification_report': {'strain_BALBcT': {'precision': 1.0,
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[{'condition': {'labels': ['condition_FLT', 'condition_GC'],
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'classification_report': {'condition_FLT': {'precision': 1.0,
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'samples avg': {'precision': 1.0,
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'strain': {'labels': ['strain_BALBcT', 'strain_C57BL6J', 'strain_C57BL6T'],
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'test_score': 0.9992684711046086,
'confusion_matrix': array([[231, 0, 0],
[ 0, 560, 0],
[ 1, 0, 575]]),
'classification_report': {'strain_BALBcT': {'precision': 1.0,
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'strain_C57BL6J': {'precision': 1.0,
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'strain_C57BL6T': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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'samples avg': {'precision': 0.9992684711046086,
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[{'condition': {'labels': ['condition_FLT', 'condition_GC'],
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[ 0, 676]]),
'classification_report': {'condition_FLT': {'precision': 1.0,
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'condition_GC': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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'weighted avg': {'precision': 1.0,
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'samples avg': {'precision': 1.0,
'recall': 1.0,
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'strain': {'labels': ['strain_BALBcT', 'strain_C57BL6J', 'strain_C57BL6T'],
'train_score': 1.0,
'test_score': 1.0,
'confusion_matrix': array([[240, 0, 0],
[ 0, 594, 0],
[ 0, 0, 533]]),
'classification_report': {'strain_BALBcT': {'precision': 1.0,
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'strain_C57BL6J': {'precision': 1.0,
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'strain_C57BL6T': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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Raw
clf_single_condition.py
{'train_score': 1.0,
'test_score': 0.9992684711046086,
'confusion_matrix': array([[676, 0],
[ 1, 690]]),
'classification_report': {'condition_FLT': {'precision': 0.9985228951255539,
'recall': 1.0,
'f1-score': 0.999260901699926,
'support': 676},
'condition_GC': {'precision': 1.0,
'recall': 0.9985528219971056,
'f1-score': 0.999275887038378,
'support': 691},
'micro avg': {'precision': 0.9992684711046086,
'recall': 0.9992684711046086,
'f1-score': 0.9992684711046086,
'support': 1367},
'macro avg': {'precision': 0.999261447562777,
'recall': 0.9992764109985528,
'f1-score': 0.999268394369152,
'support': 1367},
'weighted avg': {'precision': 0.9992695516495059,
'recall': 0.9992684711046086,
'f1-score': 0.9992684765857127,
'support': 1367},
'samples avg': {'precision': 0.9992684711046086,
'recall': 0.9992684711046086,
'f1-score': 0.9992684711046086,
'support': 1367}},
'labels': ['condition_FLT', 'condition_GC']}
Raw
clf_single_strain.py
{'train_score': 1.0,
'test_score': 0.9948792977322605,
'confusion_matrix': array([[580, 0, 0],
[ 2, 561, 0],
[ 1, 1, 222]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9948364888123924,
'recall': 0.996551724137931,
'f1-score': 0.9956933677863911,
'support': 580},
'strain_C57BL6T': {'precision': 0.99822695035461,
'recall': 1.0,
'f1-score': 0.9991126885536824,
'support': 563},
'strain_BALBcT': {'precision': 0.9955156950672646,
'recall': 0.9910714285714286,
'f1-score': 0.9932885906040269,
'support': 224},
'micro avg': {'precision': 0.9963450292397661,
'recall': 0.9970738844184345,
'f1-score': 0.9967093235831809,
'support': 1367},
'macro avg': {'precision': 0.9961930447447557,
'recall': 0.9958743842364534,
'f1-score': 0.9960315489813668,
'support': 1367},
'weighted avg': {'precision': 0.996344149419093,
'recall': 0.9970738844184345,
'f1-score': 0.996707564935722,
'support': 1367},
'samples avg': {'precision': 0.9959765910753475,
'recall': 0.9970738844184345,
'f1-score': 0.9963423555230432,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']}
Raw
gene_ranker_condition.py
features = [('ENSMUSG00000076614', 0.9886217176914215),
('ENSMUSG00000111063', 0.7304454684257508),
('ENSMUSG00000058542', 0.5521903932094574),
('ENSMUSG00000031480', 0.2918169364333153),
('ENSMUSG00000081309', 0.24939824640750885),
('ENSMUSG00000102097', 0.23106468021869658),
('ENSMUSG00000041930', 0.19363963752985),
('ENSMUSG00000038060', 0.18935353457927703),
('ENSMUSG00000024190', 0.10762897357344628),
('ENSMUSG00000095771', 0.10128714591264724),
('ENSMUSG00000084064', 0.09981558248400688),
('ENSMUSG00000102135', 0.07972597032785415),
('ENSMUSG00000085586', 0.07276861630380153),
('ENSMUSG00000037031', 0.07123445216566324),
('ENSMUSG00000042814', 0.06344028804451227),
('ENSMUSG00000026611', 0.051212505996227266),
('ENSMUSG00000051242', 0.0498948510736227),
('ENSMUSG00000021013', 0.038636122830212116),
('ENSMUSG00000021123', 0.036120472475886345),
('ENSMUSG00000104990', 0.023469638382084667),
('ENSMUSG00000117972', 0.01910013691522181),
('ENSMUSG00000026180', 0.018211377691477536)]
results = [{'train_score': 1.0,
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'confusion_matrix': array([[689, 0],
[ 2, 676]]),
'classification_report': {'condition_FLT': {'precision': 0.9971056439942113,
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'micro avg': {'precision': 0.9985369422092173,
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'weighted avg': {'precision': 0.9985411768193208,
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'samples avg': {'precision': 0.9985369422092173,
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'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
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'confusion_matrix': array([[684, 0],
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'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
'test_score': 0.9985369422092173,
'confusion_matrix': array([[705, 1],
[ 1, 660]]),
'classification_report': {'condition_FLT': {'precision': 0.9985835694050992,
'recall': 0.9985835694050992,
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'condition_GC': {'precision': 0.9984871406959153,
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'micro avg': {'precision': 0.9985369422092173,
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'macro avg': {'precision': 0.9985353550505072,
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'weighted avg': {'precision': 0.9985369422092173,
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'samples avg': {'precision': 0.9985369422092173,
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'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
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'confusion_matrix': array([[683, 0],
[ 0, 684]]),
'classification_report': {'condition_FLT': {'precision': 1.0,
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'condition_GC': {'precision': 1.0,
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'micro avg': {'precision': 1.0,
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'macro avg': {'precision': 1.0,
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'weighted avg': {'precision': 1.0,
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'samples avg': {'precision': 1.0,
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'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
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'confusion_matrix': array([[740, 1],
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'classification_report': {'condition_FLT': {'precision': 0.9959623149394348,
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'samples avg': {'precision': 0.9970738844184345,
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'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
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'confusion_matrix': array([[709, 0],
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'classification_report': {'condition_FLT': {'precision': 0.9985915492957746,
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'samples avg': {'precision': 0.9992684711046086,
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'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
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'confusion_matrix': array([[672, 0],
[ 1, 694]]),
'classification_report': {'condition_FLT': {'precision': 0.9985141158989599,
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'condition_GC': {'precision': 1.0,
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'micro avg': {'precision': 0.9992684711046086,
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'macro avg': {'precision': 0.9992570579494799,
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'weighted avg': {'precision': 0.9992695580717637,
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'f1-score': 0.9992684797190999,
'support': 1367},
'samples avg': {'precision': 0.9992684711046086,
'recall': 0.9992684711046086,
'f1-score': 0.9992684711046086,
'support': 1367}},
'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
'test_score': 0.9992684711046086,
'confusion_matrix': array([[691, 0],
[ 1, 675]]),
'classification_report': {'condition_FLT': {'precision': 0.9985549132947977,
'recall': 1.0,
'f1-score': 0.9992769342010123,
'support': 691},
'condition_GC': {'precision': 1.0,
'recall': 0.9985207100591716,
'f1-score': 0.999259807549963,
'support': 676},
'micro avg': {'precision': 0.9992684711046086,
'recall': 0.9992684711046086,
'f1-score': 0.9992684711046086,
'support': 1367},
'macro avg': {'precision': 0.9992774566473989,
'recall': 0.9992603550295858,
'f1-score': 0.9992683708754877,
'support': 1367},
'weighted avg': {'precision': 0.9992695282272899,
'recall': 0.9992684711046086,
'f1-score': 0.9992684648402885,
'support': 1367},
'samples avg': {'precision': 0.9992684711046086,
'recall': 0.9992684711046086,
'f1-score': 0.9992684711046086,
'support': 1367}},
'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
'test_score': 0.9985369422092173,
'confusion_matrix': array([[677, 0],
[ 2, 688]]),
'classification_report': {'condition_FLT': {'precision': 0.9970544918998527,
'recall': 1.0,
'f1-score': 0.9985250737463127,
'support': 677},
'condition_GC': {'precision': 1.0,
'recall': 0.9971014492753624,
'f1-score': 0.9985486211901305,
'support': 690},
'micro avg': {'precision': 0.9985369422092173,
'recall': 0.9985369422092173,
'f1-score': 0.9985369422092173,
'support': 1367},
'macro avg': {'precision': 0.9985272459499264,
'recall': 0.9985507246376812,
'f1-score': 0.9985368474682217,
'support': 1367},
'weighted avg': {'precision': 0.998541251657791,
'recall': 0.9985369422092173,
'f1-score': 0.9985369594348528,
'support': 1367},
'samples avg': {'precision': 0.9985369422092173,
'recall': 0.9985369422092173,
'f1-score': 0.9985369422092173,
'support': 1367}},
'labels': ['condition_FLT', 'condition_GC']},
{'train_score': 1.0,
'test_score': 0.9985369422092173,
'confusion_matrix': array([[697, 2],
[ 0, 668]]),
'classification_report': {'condition_FLT': {'precision': 1.0,
'recall': 0.9971387696709585,
'f1-score': 0.9985673352435529,
'support': 699},
'condition_GC': {'precision': 0.9970149253731343,
'recall': 1.0,
'f1-score': 0.9985052316890882,
'support': 668},
'micro avg': {'precision': 0.9985369422092173,
'recall': 0.9985369422092173,
'f1-score': 0.9985369422092173,
'support': 1367},
'macro avg': {'precision': 0.9985074626865671,
'recall': 0.9985693848354793,
'f1-score': 0.9985362834663205,
'support': 1367},
'weighted avg': {'precision': 0.9985413095459061,
'recall': 0.9985369422092173,
'f1-score': 0.9985369876397618,
'support': 1367},
'samples avg': {'precision': 0.9985369422092173,
'recall': 0.9985369422092173,
'f1-score': 0.9985369422092173,
'support': 1367}},
'labels': ['condition_FLT', 'condition_GC']}]
Raw
gene_ranker_strain.py
features = [('ENSMUSG00000051242', 1.0),
('ENSMUSG00000041930', 0.5254102945327759),
('ENSMUSG00000085586', 0.4021277666091919),
('ENSMUSG00000095771', 0.3209173738956451),
('ENSMUSG00000026611', 0.22169632464647293),
('ENSMUSG00000081309', 0.07428197637200355),
('ENSMUSG00000021013', 0.06889280006289482),
('ENSMUSG00000031480', 0.061475609242916104),
('ENSMUSG00000021123', 0.060723898187279704),
('ENSMUSG00000038060', 0.04753912054002285),
('ENSMUSG00000024190', 0.0330775335431099),
('ENSMUSG00000117972', 0.02013525883667171),
('ENSMUSG00000096002', 0.02009742837399244),
('ENSMUSG00000058542', 0.016760953515768052),
('ENSMUSG00000104990', 0.016309283068403603),
('ENSMUSG00000076614', 0.014212127216160298),
('ENSMUSG00000111063', 0.012682191981002688),
('ENSMUSG00000084064', 0.011716800509020686),
('ENSMUSG00000037031', 0.007756919541861862),
('ENSMUSG00000094117', 0.006313811521977186),
('ENSMUSG00000102097', 0.00431594330293592)]
results = [{'train_score': 1.0,
'test_score': 0.9941477688368691,
'confusion_matrix': array([[564, 0, 0],
[ 1, 549, 0],
[ 5, 1, 247]]),
'classification_report': {'strain_C57BL6J': {'precision': 1.0,
'recall': 0.99822695035461,
'f1-score': 0.9991126885536824,
'support': 564},
'strain_C57BL6T': {'precision': 0.9981818181818182,
'recall': 0.9981818181818182,
'f1-score': 0.9981818181818182,
'support': 550},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9762845849802372,
'f1-score': 0.988,
'support': 253},
'micro avg': {'precision': 0.9992647058823529,
'recall': 0.9941477688368691,
'f1-score': 0.9966996699669968,
'support': 1367},
'macro avg': {'precision': 0.9993939393939394,
'recall': 0.9908977845055551,
'f1-score': 0.9950981689118334,
'support': 1367},
'weighted avg': {'precision': 0.9992684711046086,
'recall': 0.9941477688368691,
'f1-score': 0.9966814603835237,
'support': 1367},
'samples avg': {'precision': 0.9941477688368691,
'recall': 0.9941477688368691,
'f1-score': 0.9941477688368691,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9956108266276518,
'confusion_matrix': array([[595, 0, 0],
[ 1, 537, 0],
[ 4, 0, 230]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9966499162479062,
'recall': 1.0,
'f1-score': 0.9983221476510068,
'support': 595},
'strain_C57BL6T': {'precision': 1.0,
'recall': 1.0,
'f1-score': 1.0,
'support': 538},
'strain_BALBcT': {'precision': 0.9956709956709957,
'recall': 0.9829059829059829,
'f1-score': 0.989247311827957,
'support': 234},
'micro avg': {'precision': 0.9978038067349927,
'recall': 0.9970738844184345,
'f1-score': 0.9974387120380535,
'support': 1367},
'macro avg': {'precision': 0.9974403039729672,
'recall': 0.9943019943019943,
'f1-score': 0.995856486492988,
'support': 1367},
'weighted avg': {'precision': 0.9978008143046945,
'recall': 0.9970738844184345,
'f1-score': 0.9974290774104543,
'support': 1367},
'samples avg': {'precision': 0.9963423555230432,
'recall': 0.9970738844184345,
'f1-score': 0.9965861984881735,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9978054133138259,
'confusion_matrix': array([[596, 0, 0],
[ 0, 543, 0],
[ 2, 0, 226]]),
'classification_report': {'strain_C57BL6J': {'precision': 1.0,
'recall': 0.9983221476510067,
'f1-score': 0.9991603694374475,
'support': 596},
'strain_C57BL6T': {'precision': 1.0,
'recall': 1.0,
'f1-score': 1.0,
'support': 543},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9912280701754386,
'f1-score': 0.9955947136563876,
'support': 228},
'micro avg': {'precision': 1.0,
'recall': 0.9978054133138259,
'f1-score': 0.9989015012815818,
'support': 1367},
'macro avg': {'precision': 1.0,
'recall': 0.9965167392754818,
'f1-score': 0.9982516943646118,
'support': 1367},
'weighted avg': {'precision': 1.0,
'recall': 0.9978054133138259,
'f1-score': 0.998899176955651,
'support': 1367},
'samples avg': {'precision': 0.9978054133138259,
'recall': 0.9978054133138259,
'f1-score': 0.9978054133138259,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9963423555230432,
'confusion_matrix': array([[576, 0, 0],
[ 2, 546, 0],
[ 3, 0, 240]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9965397923875432,
'recall': 1.0,
'f1-score': 0.9982668977469671,
'support': 576},
'strain_C57BL6T': {'precision': 1.0,
'recall': 0.9963503649635036,
'f1-score': 0.9981718464351006,
'support': 548},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9917695473251029,
'f1-score': 0.9958677685950413,
'support': 243},
'micro avg': {'precision': 0.9985347985347985,
'recall': 0.9970738844184345,
'f1-score': 0.9978038067349928,
'support': 1367},
'macro avg': {'precision': 0.9988465974625145,
'recall': 0.9960399707628689,
'f1-score': 0.9974355042590363,
'support': 1367},
'weighted avg': {'precision': 0.9985420046929223,
'recall': 0.9970738844184345,
'f1-score': 0.9978023209343696,
'support': 1367},
'samples avg': {'precision': 0.9967081199707388,
'recall': 0.9970738844184345,
'f1-score': 0.996830041453304,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9948792977322605,
'confusion_matrix': array([[605, 0, 0],
[ 2, 525, 0],
[ 5, 0, 230]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9950657894736842,
'recall': 1.0,
'f1-score': 0.9975267930750207,
'support': 605},
'strain_C57BL6T': {'precision': 1.0,
'recall': 1.0,
'f1-score': 1.0,
'support': 527},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9829787234042553,
'f1-score': 0.9914163090128755,
'support': 235},
'micro avg': {'precision': 0.9978038067349927,
'recall': 0.9970738844184345,
'f1-score': 0.9974387120380535,
'support': 1367},
'macro avg': {'precision': 0.9983552631578947,
'recall': 0.9943262411347518,
'f1-score': 0.9963143673626321,
'support': 1367},
'weighted avg': {'precision': 0.9978162418665537,
'recall': 0.9970738844184345,
'f1-score': 0.9974298042636527,
'support': 1367},
'samples avg': {'precision': 0.9959765910753475,
'recall': 0.9970738844184345,
'f1-score': 0.9963423555230432,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9948792977322605,
'confusion_matrix': array([[568, 0, 0],
[ 2, 549, 0],
[ 2, 1, 245]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9982363315696648,
'recall': 0.9964788732394366,
'f1-score': 0.9973568281938325,
'support': 568},
'strain_C57BL6T': {'precision': 0.9981851179673321,
'recall': 0.9981851179673321,
'f1-score': 0.9981851179673321,
'support': 551},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9919354838709677,
'f1-score': 0.9959514170040485,
'support': 248},
'micro avg': {'precision': 0.998533724340176,
'recall': 0.9963423555230432,
'f1-score': 0.9974368363236908,
'support': 1367},
'macro avg': {'precision': 0.9988071498456655,
'recall': 0.9955331583592454,
'f1-score': 0.9971644543884044,
'support': 1367},
'weighted avg': {'precision': 0.9985356520347985,
'recall': 0.9963423555230432,
'f1-score': 0.9974357204324075,
'support': 1367},
'samples avg': {'precision': 0.9956108266276518,
'recall': 0.9963423555230432,
'f1-score': 0.9958546695927822,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9956108266276518,
'confusion_matrix': array([[548, 0, 0],
[ 3, 584, 0],
[ 1, 0, 231]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9981751824817519,
'recall': 0.9981751824817519,
'f1-score': 0.9981751824817519,
'support': 548},
'strain_C57BL6T': {'precision': 1.0,
'recall': 0.9965928449744463,
'f1-score': 0.9982935153583617,
'support': 587},
'strain_BALBcT': {'precision': 0.9956896551724138,
'recall': 0.9956896551724138,
'f1-score': 0.9956896551724138,
'support': 232},
'micro avg': {'precision': 0.9985347985347985,
'recall': 0.9970738844184345,
'f1-score': 0.9978038067349928,
'support': 1367},
'macro avg': {'precision': 0.9979549458847218,
'recall': 0.9968192275428707,
'f1-score': 0.9973861176708425,
'support': 1367},
'weighted avg': {'precision': 0.9985369422092173,
'recall': 0.9970738844184345,
'f1-score': 0.9978041649710011,
'support': 1367},
'samples avg': {'precision': 0.9963423555230432,
'recall': 0.9970738844184345,
'f1-score': 0.9965861984881738,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9948792977322605,
'confusion_matrix': array([[558, 0, 0],
[ 2, 559, 0],
[ 4, 1, 243]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9964285714285714,
'recall': 1.0,
'f1-score': 0.998211091234347,
'support': 558},
'strain_C57BL6T': {'precision': 0.9982174688057041,
'recall': 0.9982174688057041,
'f1-score': 0.9982174688057041,
'support': 561},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9838709677419355,
'f1-score': 0.991869918699187,
'support': 248},
'micro avg': {'precision': 0.9978021978021978,
'recall': 0.9963423555230432,
'f1-score': 0.9970717423133235,
'support': 1367},
'macro avg': {'precision': 0.9982153467447584,
'recall': 0.9940294788492131,
'f1-score': 0.9960994929130793,
'support': 1367},
'weighted avg': {'precision': 0.9978106385202214,
'recall': 0.9963423555230432,
'f1-score': 0.997063298278101,
'support': 1367},
'samples avg': {'precision': 0.9956108266276518,
'recall': 0.9963423555230432,
'f1-score': 0.9958546695927823,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9970738844184345,
'confusion_matrix': array([[587, 0, 0],
[ 1, 523, 0],
[ 2, 0, 254]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9965986394557823,
'recall': 0.9982964224872232,
'f1-score': 0.9974468085106383,
'support': 587},
'strain_C57BL6T': {'precision': 1.0,
'recall': 1.0,
'f1-score': 1.0,
'support': 524},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.99609375,
'f1-score': 0.9980430528375733,
'support': 256},
'micro avg': {'precision': 0.9985369422092173,
'recall': 0.9985369422092173,
'f1-score': 0.9985369422092173,
'support': 1367},
'macro avg': {'precision': 0.9988662131519274,
'recall': 0.9981300574957411,
'f1-score': 0.9984966204494038,
'support': 1367},
'weighted avg': {'precision': 0.998539430402739,
'recall': 0.9985369422092173,
'f1-score': 0.9985371602941943,
'support': 1367},
'samples avg': {'precision': 0.9978054133138259,
'recall': 0.9985369422092173,
'f1-score': 0.9980492562789562,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']},
{'train_score': 1.0,
'test_score': 0.9978054133138259,
'confusion_matrix': array([[585, 0, 0],
[ 0, 535, 0],
[ 2, 0, 245]]),
'classification_report': {'strain_C57BL6J': {'precision': 0.9982905982905983,
'recall': 0.9982905982905983,
'f1-score': 0.9982905982905983,
'support': 585},
'strain_C57BL6T': {'precision': 1.0,
'recall': 1.0,
'f1-score': 1.0,
'support': 535},
'strain_BALBcT': {'precision': 1.0,
'recall': 0.9959514170040485,
'f1-score': 0.9979716024340771,
'support': 247},
'micro avg': {'precision': 0.9992679355783309,
'recall': 0.9985369422092173,
'f1-score': 0.9989023051591657,
'support': 1367},
'macro avg': {'precision': 0.9994301994301994,
'recall': 0.9980806717648822,
'f1-score': 0.9987540669082251,
'support': 1367},
'weighted avg': {'precision': 0.9992684711046086,
'recall': 0.9985369422092173,
'f1-score': 0.9989019647411975,
'support': 1367},
'samples avg': {'precision': 0.9981711777615215,
'recall': 0.9985369422092173,
'f1-score': 0.9982930992440868,
'support': 1367}},
'labels': ['strain_C57BL6J', 'strain_C57BL6T', 'strain_BALBcT']}]
Raw
unified_features.py
[('ENSMUSG00000095771', 0.17312329596218964),
('ENSMUSG00000076614', 0.03843410838453565),
('ENSMUSG00000094117', 0.01953811291605234),
('ENSMUSG00000038060', 0.01796875109236377),
('ENSMUSG00000024190', 0.016293742693960667),
('ENSMUSG00000102135', 0.010153900628210977),
('ENSMUSG00000085586', 0.00981395275448449),
('ENSMUSG00000058542', 0.008646084810607135),
('ENSMUSG00000031480', 0.008262618794105947),
('ENSMUSG00000051242', 0.006365588070669522),
('ENSMUSG00000084064', 0.005696148669812828),
('ENSMUSG00000026611', 0.004786836218872023),
('ENSMUSG00000042814', 0.004635132179828361),
('ENSMUSG00000021013', 0.004230143968015909),
('ENSMUSG00000104990', 0.00372991416224977),
('ENSMUSG00000041930', 0.003557560245099012),
('ENSMUSG00000096002', 0.003519207879435271),
('ENSMUSG00000102097', 0.0026885065890382975),
('ENSMUSG00000081309', 0.002269442193210125),
('ENSMUSG00000037031', 0.00225977020454593),
('ENSMUSG00000026180', 0.0011496622173581272),
('ENSMUSG00000021123', 0.0005528434994630516),
('ENSMUSG00000111063', 0.00034880377643276006),
('ENSMUSG00000117972', 0.00010862733688554727)]
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