DEVELOPMENT... OpenML
Run
10946

Run 10946

Task 38 (Supervised Classification) ecoli 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)_I40
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
0.96
Per class
F measure
0.8553
Per class
Kappa
0.81
KB relative information score
256.1835
Mean absolute error
0.0429
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8512
Per class
Predictive accuracy
0.8631
Prior entropy
2.2353
Recall
0.8631
Per class
Relative absolute error
0.2346
Root mean prior squared error
0.3016
Root mean squared error
0.1714
Root relative squared error
0.5682
SciMark benchmark
909.5016[562.65828827718581014.7208839634673484.3219757802961907.38665814554741578.4200211333489]

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