DEVELOPMENT... OpenML
Run
161782

Run 161782

Task 2276 (Supervised Classification) meta_stream_intervals.arff Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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
0.627
Per class
F measure
0.3442
Per class
KB relative information score
6705.855
Mean absolute error
0.1017
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
0.9493
Root mean prior squared error
0.2315
Root mean squared error
0.2255
Root relative squared error
0.9744
SciMark benchmark
939.7623
UserCPU time millis
5490
UserCPU time millis testing
60
UserCPU time millis training
5430