DEVELOPMENT... OpenML
Run
164242

Run 164242

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.7431
Per class
F measure
0.6752
Per class
Kappa
0.3165
KB relative information score
23.6023
Mean absolute error
0.2839
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.677
Per class
Predictive accuracy
0.6833
Prior entropy
0.9728
Recall
0.6833
Per class
Relative absolute error
0.5906
Root mean prior squared error
0.4899
Root mean squared error
0.4863
Root relative squared error
0.9927
SciMark benchmark
936.7115
UserCPU time millis
10
UserCPU time millis training
10

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