DEVELOPMENT... OpenML
Run
164274

Run 164274

Task 3737 (Supervised Classification) fri_c3_250_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)_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
0.914
Per class
F measure
0.8194
Per class
Kappa
0.6312
KB relative information score
161.4282
Mean absolute error
0.1718
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8195
Per class
Predictive accuracy
0.82
Prior entropy
0.9868
Recall
0.82
Per class
Relative absolute error
0.3501
Root mean prior squared error
0.4954
Root mean squared error
0.3719
Root relative squared error
0.7508
SciMark benchmark
943.2817
UserCPU time millis
370
UserCPU time millis training
370