Run
19108

Run 19108

Task 38 (Supervised Classification) ecoli Uploaded 12-06-2014 by Joaquin Vanschoren
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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)_I80
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
0.9165
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8509
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8023
Cross-validation details (10-fold Crossvalidation)
KB relative information score
258.8426
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0354
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
0.848
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1938
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1876
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.622
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.9334[555.49067330127581014.7209476623404482.36378704342826911.80521739130441770.2863098224536]