DEVELOPMENT... OpenML
Run
135522

Run 135522

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8518
Per class
Build CPU time
0.0028
Build memory
2016619160.9744
F measure
0.8504
Per class
Kappa
0.6971
KB relative information score
326.297
Mean absolute error
0.1485
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
0.8504
Per class
Predictive accuracy
0.8504
Prior entropy
0.9912
Recall
0.8504
Per class
Relative absolute error
0.3007
Root mean prior squared error
0.4969
Root mean squared error
0.3843
Root relative squared error
0.7734
SciMark benchmark
934.6076