DEVELOPMENT... OpenML
Run
164902

Run 164902

Task 229 (Supervised Classification) SEA(50) 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
0.8692
Per class
F measure
0.8309
Per class
Kappa
0.6404
KB relative information score
584604.3641
Mean absolute error
0.199
Mean prior absolute error
0.4739
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8315
Per class
Predictive accuracy
0.8326
Prior entropy
0.9619
Recall
0.8326
Per class
Relative absolute error
0.42
Root mean prior squared error
0.4868
Root mean squared error
0.3687
Root relative squared error
0.7575
SciMark benchmark
934.5243
UserCPU time millis
510930
UserCPU time millis testing
8040
UserCPU time millis training
502890