Run
75170

Run 75170

Task 3613 (Supervised Classification) servo Uploaded 01-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
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
0.9894
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1301
Cross-validation details (10-fold Crossvalidation)
Build memory
748985052.3114
Cross-validation details (10-fold Crossvalidation)
F measure
0.9411
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
123.6724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0918
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3533
Cross-validation details (10-fold Crossvalidation)
Number of instances
167
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9435
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9401
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7794
Cross-validation details (10-fold Crossvalidation)
Recall
0.9401
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2599
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4193
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1899
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4529
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
785.9104