DEVELOPMENT... OpenML
Run
162912

Run 162912

Task 3831 (Supervised Classification) analcatdata_birthday Uploaded 16-02-2015 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)_I20
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
0.9204
Per class
F measure
0.8716
Per class
Kappa
0.4546
KB relative information score
129.6291
Mean absolute error
0.1263
Mean prior absolute error
0.2496
Number of instances
365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8681
Per class
Predictive accuracy
0.8795
Prior entropy
0.6026
Recall
0.8795
Per class
Relative absolute error
0.506
Root mean prior squared error
0.3523
Root mean squared error
0.3043
Root relative squared error
0.8637
SciMark benchmark
933.8635