DEVELOPMENT... OpenML
Run
10760

Run 10760

Task 58 (Supervised Classification) waveform-5000 Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I20
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_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
0.9624
Per class
F measure
0.8435
Per class
Kappa
0.7654
KB relative information score
3669.3983
Mean absolute error
0.1409
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8435
Per class
Predictive accuracy
0.8436
Prior entropy
1.5849
Recall
0.8436
Per class
Relative absolute error
0.3169
Root mean prior squared error
0.4714
Root mean squared error
0.2702
Root relative squared error
0.5731
SciMark benchmark
932.8446[557.62168423933221014.4538012229739483.449727694041897.75347450272361710.9440737619698]