DEVELOPMENT... OpenML
Run
165268

Run 165268

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)_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
0.9322
Per class
F measure
0.8558
Per class
Kappa
0.7059
KB relative information score
176.8122
Mean absolute error
0.1428
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
0.8558
Per class
Predictive accuracy
0.856
Prior entropy
0.9868
Recall
0.856
Per class
Relative absolute error
0.2909
Root mean prior squared error
0.4954
Root mean squared error
0.3481
Root relative squared error
0.7028
SciMark benchmark
894.7455
UserCPU time millis
750
UserCPU time millis training
750