DEVELOPMENT... OpenML
Run
163457

Run 163457

Task 3653 (Supervised Classification) triazines 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
0.7711
Per class
F measure
0.7035
Per class
Kappa
0.3889
KB relative information score
73.131
Mean absolute error
0.2949
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7303
Per class
Predictive accuracy
0.7204
Prior entropy
0.979
Recall
0.7204
Per class
Relative absolute error
0.6075
Root mean prior squared error
0.4925
Root mean squared error
0.4622
Root relative squared error
0.9384
SciMark benchmark
942.1229
UserCPU time millis
60
UserCPU time millis training
60

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