DEVELOPMENT... OpenML
Run
165154

Run 165154

Task 3600 (Supervised Classification) ailerons 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)_I160
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
0.9464
Per class
F measure
0.8736
Per class
Kappa
0.7417
KB relative information score
9979.0354
Mean absolute error
0.1343
Mean prior absolute error
0.4884
Number of instances
13750
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.874
Per class
Predictive accuracy
0.8735
Prior entropy
0.9832
Recall
0.8735
Per class
Relative absolute error
0.2749
Root mean prior squared error
0.4942
Root mean squared error
0.3256
Root relative squared error
0.6588
SciMark benchmark
936.7115
UserCPU time millis
25400
UserCPU time millis testing
90
UserCPU time millis training
25310