DEVELOPMENT... OpenML
Run
21312

Run 21312

Task 9 (Supervised Classification) autos Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(1)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(1)_I80
weka.AdaBoostM1_LWL_DecisionStump(1)_P100
weka.AdaBoostM1_LWL_DecisionStump(1)_S1
weka.AdaBoostM1_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8487
Per class
F measure
0.5856
Per class
Kappa
0.4535
KB relative information score
97.9112
Mean absolute error
0.135
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6026
Per class
Predictive accuracy
0.5902
Prior entropy
2.3268
Recall
0.5902
Per class
Relative absolute error
0.611
Root mean prior squared error
0.3318
Root mean squared error
0.279
Root relative squared error
0.8408
SciMark benchmark
943.2364[558.69335417099721013.919993711725480.85168147774846902.69971088135311760.017229859821]