Run
16615

Run 16615

Task 11 (Supervised Classification) balance-scale Uploaded 04-06-2014 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)_I80
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
0.8328
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7711
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5674
Cross-validation details (10-fold Crossvalidation)
KB relative information score
314.0482
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1713
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
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
0.8031
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7424
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.7424
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.451
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9479
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
927.142[551.6257245726117989.9589333171364468.8829003871018910.53839766977511714.704245724379]