Run
16638

Run 16638

Task 38 (Supervised Classification) ecoli Uploaded 04-06-2014 by Joaquin Vanschoren
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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)_I80
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
0.8603
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7954
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7216
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.0104
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0549
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.7939
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7976
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.7976
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2222
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7366
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.0845[567.2327196592638911.0898341896785480.6364546036713906.75889678256981714.7043740814768]