Run
20014

Run 20014

Task 12 (Supervised Classification) mfeat-factors Uploaded 18-06-2014 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)_I40
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
0.9882
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9686
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.965
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1927.5255
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0083
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9689
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9685
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0773
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2577
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
862.7291[556.3766013735313956.3052782533645447.76556428104874904.56866745157771448.6295387171747]