DEVELOPMENT... OpenML
Run
163575

Run 163575

Task 3771 (Supervised Classification) chscase_census3 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)_I40
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
0.4513
Per class
F measure
0.4633
Per class
Kappa
-0.0752
KB relative information score
-17.5118
Mean absolute error
0.5185
Mean prior absolute error
0.4992
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
0.463
Per class
Predictive accuracy
0.465
Prior entropy
0.9989
Recall
0.465
Per class
Relative absolute error
1.0386
Root mean prior squared error
0.4996
Root mean squared error
0.5719
Root relative squared error
1.1447
SciMark benchmark
911.3823
UserCPU time millis
90
UserCPU time millis training
90