DEVELOPMENT... OpenML
Run
163294

Run 163294

Task 3498 (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)_I40
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
0.8646
Per class
F measure
0.7222
Per class
Kappa
0.5833
KB relative information score
21.8101
Mean absolute error
0.1937
Mean prior absolute error
0.4444
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
0.7222
Per class
Predictive accuracy
0.7222
Prior entropy
1.585
Recall
0.7222
Per class
Relative absolute error
0.4358
Root mean prior squared error
0.4714
Root mean squared error
0.4145
Root relative squared error
0.8793
SciMark benchmark
945.6434
UserCPU time millis
10
UserCPU time millis training
10

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