Run
320329

Run 320329

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 24-03-2015 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
0.7651
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8278
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2886
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.9117
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1831
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
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
0.8256
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8301
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8301
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7438
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3544
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0119
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1322.7257
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)