DEVELOPMENT... OpenML
Run
22770

Run 22770

Task 2072 (Supervised Classification) covertype Uploaded 22-06-2014 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)_I10
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
0.8256
Per class
F measure
0.6516
Per class
Kappa
0.4695
KB relative information score
45614.788
Mean absolute error
0.1302
Mean prior absolute error
0.1853
Number of instances
110393
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6625
Per class
Predictive accuracy
0.6711
Prior entropy
1.8698
Recall
0.6711
Per class
Relative absolute error
0.7027
Root mean prior squared error
0.3044
Root mean squared error
0.2562
Root relative squared error
0.8416
SciMark benchmark
921.2786[539.0113124540668988.1820916309184471.97440834681885887.12015826798531720.1050127100257]