Run
23528

Run 23528

Task 54 (Supervised Classification) hepatitis Uploaded 26-06-2014 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_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I160
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.7919
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8596
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5766
Cross-validation details (10-fold Crossvalidation)
KB relative information score
76.0035
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1438
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
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
0.8616
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8581
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8581
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3775
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9325
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.6073[554.60752005669281014.4538012229739488.2864400830438911.80521739130441758.8835103978397]