DEVELOPMENT... OpenML
Run
162120

Run 162120

Task 3758 (Supervised Classification) chscase_geyser1 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
0.905
Per class
F measure
0.8711
Per class
Kappa
0.7279
KB relative information score
163.8965
Mean absolute error
0.1224
Mean prior absolute error
0.4787
Number of instances
222
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8784
Per class
Predictive accuracy
0.8739
Prior entropy
0.9694
Recall
0.8739
Per class
Relative absolute error
0.2557
Root mean prior squared error
0.4891
Root mean squared error
0.3423
Root relative squared error
0.6997
SciMark benchmark
938.4278