DEVELOPMENT... OpenML
Run
164429

Run 164429

Task 3881 (Supervised Classification) ipums_la_99-small 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
0.8824
Per class
F measure
0.9047
Per class
KB relative information score
2096.565
Mean absolute error
0.0652
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
0.5424
Root mean prior squared error
0.2452
Root mean squared error
0.2506
Root relative squared error
1.0222
SciMark benchmark
876.8277
UserCPU time millis
4180
UserCPU time millis testing
40
UserCPU time millis training
4140