DEVELOPMENT... OpenML
Run
162735

Run 162735

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)_I20
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
0.7424
Per class
F measure
0.6534
Per class
Kappa
0.3062
KB relative information score
60.6531
Mean absolute error
0.3283
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
0.7357
Per class
Predictive accuracy
0.6935
Prior entropy
0.979
Recall
0.6935
Per class
Relative absolute error
0.6764
Root mean prior squared error
0.4925
Root mean squared error
0.4852
Root relative squared error
0.9852
SciMark benchmark
922.9039
UserCPU time millis
40
UserCPU time millis training
40