Run
501349

Run 501349

Task 3748 (Supervised Classification) transplant Uploaded 11-12-2015 by Carlos Lopez Sanchez
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_RandomF orest(1)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_RandomForest(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_RandomForest(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_RandomForest(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_RandomForest(5)_P100
weka.AdaBoostM1_RandomForest(5)_S1
weka.AdaBoostM1_RandomForest(5)_I10
weka.AdaBoostM1_RandomForest(5)_Wweka.classifiers.trees.RandomForest

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9847
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9671
Cross-validation details (10-fold Crossvalidation)
KB relative information score
126.1642
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0166
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4648
Cross-validation details (10-fold Crossvalidation)
Number of instances
131
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9847
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9847
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9495
Cross-validation details (10-fold Crossvalidation)
Recall
0.9847
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0358
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4818
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0909
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1887
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
412.1977
UserCPU time millis
93.75
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
78.125
Cross-validation details (10-fold Crossvalidation)