DEVELOPMENT... OpenML
Run
164449

Run 164449

Task 3913 (Supervised Classification) kc2 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
0.8051
Per class
F measure
0.8269
Per class
Kappa
0.4564
KB relative information score
205.025
Mean absolute error
0.1702
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8239
Per class
Predictive accuracy
0.8314
Prior entropy
0.734
Recall
0.8314
Per class
Relative absolute error
0.5211
Root mean prior squared error
0.4037
Root mean squared error
0.3733
Root relative squared error
0.9247
SciMark benchmark
876.8277
UserCPU time millis
190
UserCPU time millis training
190