DEVELOPMENT... OpenML
Run
124273

Run 124273

Task 3758 (Supervised Classification) chscase_geyser1 Uploaded 23-12-2014 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
0.8943
Per class
Build CPU time
1.1171
Build memory
46750050.4505
F measure
0.8811
Per class
Kappa
0.7494
KB relative information score
150.0393
Mean absolute error
0.1592
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
0.8849
Per class
Predictive accuracy
0.8829
Prior entropy
0.9694
Recall
0.8829
Per class
Relative absolute error
0.3326
Root mean prior squared error
0.4891
Root mean squared error
0.3295
Root relative squared error
0.6736
SciMark benchmark
939.521