DEVELOPMENT... OpenML
Run
163364

Run 163364

Task 3561 (Supervised Classification) profb 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
0.6489
Per class
F measure
0.5469
Per class
Kappa
0.0237
KB relative information score
130.0596
Mean absolute error
0.3459
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7804
Per class
Predictive accuracy
0.6726
Prior entropy
0.9188
Recall
0.6726
Per class
Relative absolute error
0.7781
Root mean prior squared error
0.4714
Root mean squared error
0.5127
Root relative squared error
1.0876
SciMark benchmark
911.3823
UserCPU time millis
50
UserCPU time millis training
50