DEVELOPMENT... OpenML
Run
164305

Run 164305

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)_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
0.3897
Per class
F measure
0.4461
Per class
Kappa
-0.1056
KB relative information score
-36.2295
Mean absolute error
0.5406
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
0.4466
Per class
Predictive accuracy
0.45
Prior entropy
0.9994
Recall
0.45
Per class
Relative absolute error
1.0821
Root mean prior squared error
0.4998
Root mean squared error
0.5777
Root relative squared error
1.156
SciMark benchmark
938.2848
UserCPU time millis
100
UserCPU time millis training
100