DEVELOPMENT... OpenML
Run
162797

Run 162797

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey Uploaded 16-02-2015 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)_I20
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
0.5035
Per class
F measure
0.6834
Per class
KB relative information score
36.26
Mean absolute error
0.2322
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
0.6082
Per class
Predictive accuracy
0.7799
Prior entropy
0.7667
Recall
0.7799
Per class
Relative absolute error
0.6724
Root mean prior squared error
0.4143
Root mean squared error
0.4678
Root relative squared error
1.129
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10