Run
817

Run 817

Task 83 (Learning Curve) mushroom Uploaded 08-04-2014 by Jan van Rijn
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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
0.9978 ± 0.0009
Per class
F measure
0.9822 ± 0.005
Per class
Kappa
0.9644 ± 0.0101
KB relative information score
0.9099 ± 0.008
Mean absolute error
0.0537 ± 0.004
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9823 ± 0.005
Per class
Predictive accuracy
0.9822 ± 0.005
Prior entropy
0.9991 ± 0
Recall
0.9822 ± 0.005
Per class
Relative absolute error
0.1074 ± 0.008
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1217 ± 0.0114
Root relative squared error
0.2435 ± 0.0228
SciMark benchmark
891.503