DEVELOPMENT... OpenML
Run
144429

Run 144429

Task 3708 (Supervised Classification) house_8L 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
0.9242
Per class
F measure
0.8708
Per class
Kappa
0.6855
KB relative information score
14003.4361
Mean absolute error
0.1597
Mean prior absolute error
0.4168
Number of instances
22784
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8706
Per class
Predictive accuracy
0.8729
Prior entropy
0.8764
Recall
0.8729
Per class
Relative absolute error
0.3832
Root mean prior squared error
0.4565
Root mean squared error
0.3119
Root relative squared error
0.6832
SciMark benchmark
902.4773
UserCPU time millis
20440
UserCPU time millis testing
180
UserCPU time millis training
20260