DEVELOPMENT... OpenML
Run
165301

Run 165301

Task 3770 (Supervised Classification) chscase_census4 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
0.4048
Per class
F measure
0.4493
Per class
Kappa
-0.093
KB relative information score
-30.0495
Mean absolute error
0.5352
Mean prior absolute error
0.4996
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4517
Per class
Predictive accuracy
0.4575
Prior entropy
0.9994
Recall
0.4575
Per class
Relative absolute error
1.0713
Root mean prior squared error
0.4998
Root mean squared error
0.5853
Root relative squared error
1.1711
SciMark benchmark
940.2922
UserCPU time millis
210
UserCPU time millis training
210