DEVELOPMENT... OpenML
Run
153867

Run 153867

Task 3756 (Supervised Classification) visualizing_hamster Uploaded 10-02-2015 by Felicia West
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Flow

weka.RealAdaBoost_DecisionStump(1)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(1)_P100
weka.RealAdaBoost_DecisionStump(1)_H1.0
weka.RealAdaBoost_DecisionStump(1)_S1
weka.RealAdaBoost_DecisionStump(1)_I10
weka.RealAdaBoost_DecisionStump(1)_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
0.7383
Per class
F measure
0.7107
Per class
Kappa
0.4147
KB relative information score
24.05
Mean absolute error
0.3391
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7115
Per class
Predictive accuracy
0.7123
Prior entropy
0.9937
Recall
0.7123
Per class
Relative absolute error
0.6844
Root mean prior squared error
0.4977
Root mean squared error
0.461
Root relative squared error
0.9262
SciMark benchmark
947.9494

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