Run
297627

Run 297627

Task 97 (Learning Curve) ecoli Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.8802 ± 0.037
Per class
F measure
0.8094 ± 0.0532
Per class
Kappa
0.7413 ± 0.076
KB relative information score
0.7319 ± 0.0818
Mean absolute error
0.0469 ± 0.014
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8078 ± 0.0519
Per class
Predictive accuracy
0.8122 ± 0.0561
Prior entropy
2.1906 ± 0.0868
Recall
0.8122 ± 0.0561
Per class
Relative absolute error
0.2569 ± 0.0762
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.2167 ± 0.033
Root relative squared error
0.7184 ± 0.1079
SciMark benchmark
1342.2505
UserCPU time millis
30
UserCPU time millis testing
30