DEVELOPMENT... OpenML
Run
164087

Run 164087

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.9744
Per class
F measure
0.9698
Per class
Kappa
0.923
KB relative information score
91.0169
Mean absolute error
0.03
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9699
Per class
Predictive accuracy
0.97
Prior entropy
0.8479
Recall
0.97
Per class
Relative absolute error
0.0757
Root mean prior squared error
0.444
Root mean squared error
0.1732
Root relative squared error
0.3901
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20