Run
23312

Run 23312

Task 10 (Supervised Classification) lymph Uploaded 24-06-2014 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_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I160
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.8283
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.822
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6597
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.1489
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0996
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.8279
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8243
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8243
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3721
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.286
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7859
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.8498[557.08738953167771012.8541257252805481.28276544297296912.43991219425081760.5845701777503]