Run
549352

Run 549352

Task 3988 (Supervised Classification) AP_Endometrium_Lung Uploaded 08-04-2016 by Jan van Rijn
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.RandomForest(9)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1

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
0.9884
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9625
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9145
Cross-validation details (10-fold Crossvalidation)
KB relative information score
120.094
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1793
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4402
Cross-validation details (10-fold Crossvalidation)
Number of instances
187
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9625
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9626
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9129
Cross-validation details (10-fold Crossvalidation)
Recall
0.9626
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4072
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4688
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2392
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5102
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
933.7842
UserCPU time millis
1110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1090
Cross-validation details (10-fold Crossvalidation)