DEVELOPMENT... OpenML
Run
122773

Run 122773

Task 4001 (Supervised Classification) pc1_req Uploaded 15-12-2014 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)_I160
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
0.5803
Per class
Build CPU time
31.8503
Build memory
750680539.2
F measure
0.6363
Per class
Kappa
0.1606
KB relative information score
24.1009
Mean absolute error
0.4033
Mean prior absolute error
0.4455
Number of instances
320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6447
Per class
Predictive accuracy
0.675
Prior entropy
0.9204
Recall
0.675
Per class
Relative absolute error
0.9054
Root mean prior squared error
0.4718
Root mean squared error
0.5069
Root relative squared error
1.0744
SciMark benchmark
893.4088