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macro_average_classification_performances_per_projectother.tex
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macro_average_classification_performances_per_projectother.tex
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\begin{tabular}{lrrrrrrrr}
\toprule
metric & f1 & precision & recall & rocauc & test\_count & test\_fraction & train\_count & train\_fraction \\
project & & & & & & & & \\
\midrule
AMQP & 0.733 & 0.789 & 0.711 & 0.548 & 9.310 & 0.716 & 0.000 & 0.000 \\
BATCH & 0.416 & 0.414 & 0.473 & 0.463 & 5.620 & 0.432 & 0.000 & 0.000 \\
CAMEL & 0.499 & 0.539 & 0.485 & 0.549 & 51.490 & 0.464 & 0.000 & 0.000 \\
COMPRESS & 0.404 & 0.411 & 0.427 & 0.439 & 5.150 & 0.515 & 0.000 & 0.000 \\
DATACMNS & 0.281 & 0.245 & 0.385 & 0.479 & 3.610 & 0.278 & 0.000 & 0.000 \\
DATAJPA & 0.431 & 0.522 & 0.419 & 0.577 & 6.930 & 0.433 & 0.000 & 0.000 \\
DATAMONGO & 0.478 & 0.514 & 0.477 & 0.517 & 8.090 & 0.506 & 0.000 & 0.000 \\
DATAREDIS & 0.484 & 0.664 & 0.413 & 0.414 & 7.240 & 0.658 & 0.000 & 0.000 \\
DATAREST & 0.309 & 0.283 & 0.390 & 0.437 & 3.380 & 0.307 & 0.000 & 0.000 \\
HBASE & 0.783 & 0.809 & 0.764 & 0.528 & 117.000 & 0.791 & 0.000 & 0.000 \\
LANG & 0.502 & 0.591 & 0.503 & 0.525 & 11.090 & 0.504 & 0.000 & 0.000 \\
OTHER & 0.226 & 0.239 & 0.237 & 0.173 & 1.057 & 0.339 & 0.000 & 0.000 \\
ROO & 0.599 & 0.636 & 0.621 & 0.568 & 22.350 & 0.559 & 0.000 & 0.000 \\
SEC & 0.307 & 0.314 & 0.372 & 0.520 & 8.120 & 0.280 & 0.000 & 0.000 \\
SGF & 0.223 & 0.226 & 0.285 & 0.426 & 2.360 & 0.236 & 0.000 & 0.000 \\
SWS & 0.211 & 0.193 & 0.284 & 0.410 & 1.920 & 0.192 & 0.000 & 0.000 \\
WFCORE & 0.507 & 0.583 & 0.472 & 0.569 & 27.830 & 0.497 & 0.000 & 0.000 \\
\bottomrule
\end{tabular}