DEVELOPMENT... OpenML
Run
164339

Run 164339

Task 3804 (Supervised Classification) lowbwt 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
0.8703
Per class
F measure
0.8365
Per class
Kappa
0.6773
KB relative information score
127.1037
Mean absolute error
0.1649
Mean prior absolute error
0.4989
Number of instances
189
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8727
Per class
Predictive accuracy
0.8413
Prior entropy
0.9984
Recall
0.8413
Per class
Relative absolute error
0.3305
Root mean prior squared error
0.4994
Root mean squared error
0.3817
Root relative squared error
0.7643
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis training
20