DEVELOPMENT... OpenML
Run
165233

Run 165233

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)_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
0.7245
Per class
F measure
0.7094
Per class
Kappa
0.3885
KB relative information score
23.2258
Mean absolute error
0.2903
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
0.7127
Per class
Predictive accuracy
0.7167
Prior entropy
0.9728
Recall
0.7167
Per class
Relative absolute error
0.604
Root mean prior squared error
0.4899
Root mean squared error
0.496
Root relative squared error
1.0124
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20