Run
21581

Run 21581

Task 2076 (Supervised Classification) kropt Uploaded 19-06-2014 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)_I10
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
0.9118
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7056
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6722
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19474.5873
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0326
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
0.7087
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7075
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.7075
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3279
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1755
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7868
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.6768[554.4312010721529998.422249403173481.93081680843505908.01521433887441760.5845701777503]