Run
549319

Run 549319

Task 3957 (Supervised Classification) AP_Endometrium_Breast 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
0.9923
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8295
Cross-validation details (10-fold Crossvalidation)
KB relative information score
257.9228
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2571
Cross-validation details (10-fold Crossvalidation)
Number of instances
405
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
0.9612
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9605
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6157
Cross-validation details (10-fold Crossvalidation)
Recall
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4062
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3577
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.18
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5032
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
835.9568
UserCPU time millis
1700
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1680
Cross-validation details (10-fold Crossvalidation)