DEVELOPMENT... OpenML
Run
164459

Run 164459

Task 3923 (Supervised Classification) datatrieve 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
0.6306
Per class
F measure
0.8915
Per class
Kappa
0.2081
KB relative information score
22.9057
Mean absolute error
0.0915
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8833
Per class
Predictive accuracy
0.9077
Prior entropy
0.4395
Recall
0.9077
Per class
Relative absolute error
0.5711
Root mean prior squared error
0.2784
Root mean squared error
0.2937
Root relative squared error
1.055
SciMark benchmark
943.2817
UserCPU time millis
30
UserCPU time millis training
30