DEVELOPMENT... OpenML
Run
163295

Run 163295

Task 3499 (Supervised Classification) squash-stored 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)_I40
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
0.7502
Per class
F measure
0.5808
Per class
Kappa
0.365
KB relative information score
16.4053
Mean absolute error
0.3094
Mean prior absolute error
0.4135
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5357
Per class
Predictive accuracy
0.6346
Prior entropy
1.4782
Recall
0.6346
Per class
Relative absolute error
0.7481
Root mean prior squared error
0.4538
Root mean squared error
0.4238
Root relative squared error
0.9338
SciMark benchmark
945.6434