DEVELOPMENT... OpenML
Run
161454

Run 161454

Task 47 (Supervised Classification) tae 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
0.5349
Per class
F measure
0.3671
Per class
Kappa
0.0668
KB relative information score
15.359
Mean absolute error
0.4269
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3635
Per class
Predictive accuracy
0.3775
Prior entropy
1.5845
Recall
0.3775
Per class
Relative absolute error
0.9608
Root mean prior squared error
0.4713
Root mean squared error
0.4668
Root relative squared error
0.9903
SciMark benchmark
933.8635