Run
17220

Run 17220

Task 49 (Supervised Classification) tic-tac-toe Uploaded 07-06-2014 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
0.9782
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9484
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.885
Cross-validation details (10-fold Crossvalidation)
KB relative information score
716.5899
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1249
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
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
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9489
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9489
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2758
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2283
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4798
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
883.1156[566.8640103967047961.0748192432727466.64135976403253885.62161020818121535.3761842393953]