Run
21990

Run 21990

Task 47 (Supervised Classification) tae 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
0.7959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6746
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5134
Cross-validation details (10-fold Crossvalidation)
KB relative information score
83.8553
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2165
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
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
0.675
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6755
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10-fold Crossvalidation)
Recall
0.6755
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4873
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9724
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.3663[556.90949049104711013.3868112175512478.4945829226523910.85475360997441757.1857345400422]