Run
133766

Run 133766

Task 3640 (Supervised Classification) disclosure_x_bias Uploaded 28-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_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.

21 Evaluation measures

Area under ROC curve
0.5064
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.2703
Cross-validation details (10-fold Crossvalidation)
Build memory
1056013880.8701
Cross-validation details (10-fold Crossvalidation)
F measure
0.5212
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0409
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.1987
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4988
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4991
Cross-validation details (10-fold Crossvalidation)
Number of instances
662
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5211
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9987
Cross-validation details (10-fold Crossvalidation)
Recall
0.5211
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5322
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0654
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.084