DEVELOPMENT... OpenML
Run
163693

Run 163693

Task 3881 (Supervised Classification) ipums_la_99-small 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
0.875
Per class
F measure
0.9047
Per class
KB relative information score
2137.8915
Mean absolute error
0.0645
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8757
Per class
Predictive accuracy
0.9358
Prior entropy
0.3444
Recall
0.9358
Per class
Relative absolute error
0.536
Root mean prior squared error
0.2452
Root mean squared error
0.2529
Root relative squared error
1.0316
SciMark benchmark
942.1229
UserCPU time millis
2010
UserCPU time millis testing
20
UserCPU time millis training
1990