DEVELOPMENT... OpenML
Run
164209

Run 164209

Task 3675 (Supervised Classification) pbc 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
0.7818
Per class
F measure
0.7118
Per class
Kappa
0.4166
KB relative information score
168.4582
Mean absolute error
0.2961
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7119
Per class
Predictive accuracy
0.7129
Prior entropy
0.9928
Recall
0.7129
Per class
Relative absolute error
0.5982
Root mean prior squared error
0.4975
Root mean squared error
0.4874
Root relative squared error
0.9798
SciMark benchmark
938.2848
UserCPU time millis
120
UserCPU time millis training
120