DEVELOPMENT... OpenML
Run
165464

Run 165464

Task 3917 (Supervised Classification) kc1 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
0.7962
Per class
F measure
0.7929
Per class
Kappa
0.085
KB relative information score
627.3365
Mean absolute error
0.1513
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8256
Per class
Predictive accuracy
0.8502
Prior entropy
0.622
Recall
0.8502
Per class
Relative absolute error
0.5784
Root mean prior squared error
0.3615
Root mean squared error
0.3681
Root relative squared error
1.0182
SciMark benchmark
936.7115
UserCPU time millis
1580
UserCPU time millis testing
10
UserCPU time millis training
1570