Run
416784

Run 416784

Task 4403 (Supervised Classification) bank32nh Uploaded 07-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8207
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7434
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3785
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
33356.4134
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2402
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4281
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
81920
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.754
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7636
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8937
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7636
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5611
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4627
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4417
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9546
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
929.0296
UserCPU time millis
1130
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1120
Cross-validation details (10 times 10-fold Crossvalidation)