Run
16835

Run 16835

Task 2072 (Supervised Classification) covertype Uploaded 05-06-2014 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_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I20
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.8963
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.779
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6573
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42546.1985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.147
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1853
Cross-validation details (10-fold Crossvalidation)
Number of instances
110393
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
0.7903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7868
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.8698
Cross-validation details (10-fold Crossvalidation)
Recall
0.7868
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7934
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3044
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2368
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7781
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.0824[567.04832706770641015.7907504114269484.5405689113658908.01521433887441760.017229859821]