DEVELOPMENT... OpenML
Run
165245

Run 165245

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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
0.5423
Per class
F measure
0.7046
Per class
Kappa
0.0601
KB relative information score
40.8758
Mean absolute error
0.2251
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7239
Per class
Predictive accuracy
0.7799
Prior entropy
0.7667
Recall
0.7799
Per class
Relative absolute error
0.6518
Root mean prior squared error
0.4143
Root mean squared error
0.459
Root relative squared error
1.1078
SciMark benchmark
936.6206
UserCPU time millis
40
UserCPU time millis training
40