DEVELOPMENT... OpenML
Run
147900

Run 147900

Task 2276 (Supervised Classification) meta_stream_intervals.arff Uploaded 03-02-2015 by Felicia West
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Flow

weka.Dagging_DecisionStump(2)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_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.

22 Evaluation measures

Area under ROC curve
0.6618
Per class
F measure
0.3442
Per class
KB relative information score
6768.3888
Mean absolute error
0.1016
Mean prior absolute error
0.1072
Number of instances
45164
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2598
Per class
Predictive accuracy
0.5097
Prior entropy
2.3329
Recall
0.5097
Per class
Relative absolute error
0.9479
Root mean prior squared error
0.2315
Root mean squared error
0.2251
Root relative squared error
0.9723
SciMark benchmark
947.9494
UserCPU time millis
1180
UserCPU time millis testing
80
UserCPU time millis training
1100