Run
348492

Run 348492

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 27-03-2015 by Joaquin Vanschoren
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_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
0.8232
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9628
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5518
Cross-validation details (10-fold Crossvalidation)
KB relative information score
50.2536
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0394
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.9632
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9624
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9624
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4708
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.165
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8137
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1316.6741
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)