Run
435696

Run 435696

Task 83 (Learning Curve) mushroom Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I80
weka.RealAdaBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.9946 ± 0.002
Per class
F measure
0.9462 ± 0.0076
Per class
Kappa
0.8923 ± 0.0153
KB relative information score
0.8936 ± 0.0118
Mean absolute error
0.0558 ± 0.0057
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9478 ± 0.0073
Per class
Predictive accuracy
0.9463 ± 0.0076
Prior entropy
0.9991 ± 0
Recall
0.9463 ± 0.0076
Per class
Relative absolute error
0.1118 ± 0.0114
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1757 ± 0.0135
Root relative squared error
0.3517 ± 0.0271
SciMark benchmark
934.8058
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40