DEVELOPMENT... OpenML
Run
124114

Run 124114

Task 3576 (Supervised Classification) sleuth_ex2015 Uploaded 22-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LWL_DecisionStump(2)_I20
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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.

21 Evaluation measures

Area under ROC curve
0.6761
Per class
Build CPU time
0.3369
Build memory
1399866208.8
F measure
0.6499
Per class
Kappa
0.3
KB relative information score
18.9153
Mean absolute error
0.3413
Mean prior absolute error
0.5
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6502
Per class
Predictive accuracy
0.65
Prior entropy
1
Recall
0.65
Per class
Relative absolute error
0.6825
Root mean prior squared error
0.5
Root mean squared error
0.5625
Root relative squared error
1.125
SciMark benchmark
939.0159