DEVELOPMENT... OpenML
Run
144284

Run 144284

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9331
Per class
F measure
0.8486
Per class
Kappa
0.6947
KB relative information score
304.7977
Mean absolute error
0.178
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
0.8503
Per class
Predictive accuracy
0.8483
Prior entropy
0.9912
Recall
0.8483
Per class
Relative absolute error
0.3604
Root mean prior squared error
0.4969
Root mean squared error
0.3214
Root relative squared error
0.6469
SciMark benchmark
902.4773
UserCPU time millis
60
UserCPU time millis training
60