DEVELOPMENT... OpenML
Run
163601

Run 163601

Task 3797 (Supervised Classification) socmob 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
0.9704
Per class
F measure
0.9261
Per class
Kappa
0.7872
KB relative information score
866.6202
Mean absolute error
0.0753
Mean prior absolute error
0.3451
Number of instances
1156
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9268
Per class
Predictive accuracy
0.9256
Prior entropy
0.7637
Recall
0.9256
Per class
Relative absolute error
0.2181
Root mean prior squared error
0.4152
Root mean squared error
0.2677
Root relative squared error
0.6448
SciMark benchmark
936.6206
UserCPU time millis
50
UserCPU time millis training
50

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