Run
23863

Run 23863

Task 6 (Supervised Classification) letter Uploaded 28-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I80
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
0.9871
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.972
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19456.3411
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
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
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.028
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0454
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2361
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.4245[563.02150163949781005.9802050803675481.28276544297296906.44537908266061745.3924599182756]