DEVELOPMENT... OpenML
Run
165197

Run 165197

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)_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
0.7862
Per class
F measure
0.7174
Per class
Kappa
0.4285
KB relative information score
175.1349
Mean absolute error
0.2883
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
0.7172
Per class
Predictive accuracy
0.7177
Prior entropy
0.9928
Recall
0.7177
Per class
Relative absolute error
0.5824
Root mean prior squared error
0.4975
Root mean squared error
0.4807
Root relative squared error
0.9663
SciMark benchmark
911.3823
UserCPU time millis
250
UserCPU time millis training
250