Run
20995

Run 20995

Task 2 (Supervised Classification) anneal Uploaded 18-06-2014 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_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I40
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.9608
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9513
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8789
Cross-validation details (10-fold Crossvalidation)
KB relative information score
773.5448
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0165
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9518
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.951
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.951
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1227
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4881
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.6883[556.02190816153571014.1867954103211483.0147548568529910.85475360997441754.3634695038145]