Run
24831

Run 24831

Task 38 (Supervised Classification) ecoli Uploaded 18-07-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I80
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9511
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8009
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7454
Cross-validation details (10-fold Crossvalidation)
KB relative information score
189.9585
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.097
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
0.8007
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5307
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1952
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6471
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.3762[561.0294815668511013.1204302006943477.0066008765347914.66854765231311756.0557934247322]