DEVELOPMENT... OpenML
Run
95038

Run 95038

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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.

21 Evaluation measures

Area under ROC curve
0.7984
Per class
Build CPU time
0.0076
Build memory
185023750
F measure
0.7228
Per class
Kappa
0.4681
KB relative information score
112.0862
Mean absolute error
0.3884
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7712
Per class
Predictive accuracy
0.7265
Prior entropy
0.9912
Recall
0.7265
Per class
Relative absolute error
0.7865
Root mean prior squared error
0.4969
Root mean squared error
0.4206
Root relative squared error
0.8465
SciMark benchmark
930.1524