DEVELOPMENT... OpenML
Run
162190

Run 162190

Task 3827 (Supervised Classification) pasture Uploaded 16-02-2015 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)_I10
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
0.8785
Per class
F measure
0.8033
Per class
Kappa
0.5532
KB relative information score
19.4438
Mean absolute error
0.1942
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8024
Per class
Predictive accuracy
0.8056
Prior entropy
0.9268
Recall
0.8056
Per class
Relative absolute error
0.4341
Root mean prior squared error
0.4715
Root mean squared error
0.4373
Root relative squared error
0.9276
SciMark benchmark
938.4278