Run
16674

Run 16674

Task 55 (Supervised Classification) vote 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)_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
0.973
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9587
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9131
Cross-validation details (10-fold Crossvalidation)
KB relative information score
396.2235
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0411
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
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
0.959
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9586
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0866
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2019
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4148
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.3605[550.40728600235831013.9200573100866477.0066008765347908.95975824819551746.5088487702178]