Run
533369

Run 533369

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 05-03-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M2

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
0.4477
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9361
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.727
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0822
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, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.916
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9824
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0002
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1806.5905
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)