DEVELOPMENT... OpenML
Run
165424

Run 165424

Task 3865 (Supervised Classification) ipums_la_98-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)_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
0.8557
Per class
F measure
0.8444
Per class
KB relative information score
1930.9672
Mean absolute error
0.1066
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7998
Per class
Predictive accuracy
0.8943
Prior entropy
0.4871
Recall
0.8943
Per class
Relative absolute error
0.5636
Root mean prior squared error
0.3074
Root mean squared error
0.3224
Root relative squared error
1.0486
SciMark benchmark
940.2922
UserCPU time millis
7640
UserCPU time millis testing
50
UserCPU time millis training
7590