Run
18538

Run 18538

Task 11 (Supervised Classification) balance-scale Uploaded 10-06-2014 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
0.8702
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8029
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6368
Cross-validation details (10-fold Crossvalidation)
KB relative information score
357.7075
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1406
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
0.8181
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7888
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.7888
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3702
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8557
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.2041[559.94888223503311014.4538012229739483.449727694041912.75766683510371680.4102564102564]