Run
22125

Run 22125

Task 2076 (Supervised Classification) kropt Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I20
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9006
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.739
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7091
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20347.0542
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.029
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
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
0.7419
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7403
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.7403
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.291
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1671
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7493
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
904.8144[545.58668296254721015.5230404536866474.89683756077204906.44537908266061581.6198160243612]