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update output lines
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misc/cluster_benchmark.py

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -39,7 +39,7 @@
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labels_true_t.append(line[1])
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labels_pred.append(line[2])
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labels_true_g.append(tsp[line[1]])
42-
print("homogeneity score with (sample reads and human transcriptome) is: {:.2f}%".format(metrics.homogeneity_score(labels_true_t, labels_pred) * 100))
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print("completeness score with (sample reads and human transcriptome) is: {:.2f}%".format(metrics.completeness_score(labels_true_t, labels_pred) * 100))
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print("homogeneity score with (sample reads and human gene) is: {:.2f}%".format(metrics.homogeneity_score(labels_true_g, labels_pred) * 100))
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print("completeness score with (sample reads and human gene) is: {:.2f}%".format(metrics.completeness_score(labels_true_g, labels_pred) * 100))
42+
print("homogeneity score with transcriptome is: {:.2f}%".format(metrics.homogeneity_score(labels_true_t, labels_pred) * 100))
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print("completeness score with transcriptome is: {:.2f}%".format(metrics.completeness_score(labels_true_t, labels_pred) * 100))
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print("homogeneity score with gene is: {:.2f}%".format(metrics.homogeneity_score(labels_true_g, labels_pred) * 100))
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print("completeness score with gene is: {:.2f}%".format(metrics.completeness_score(labels_true_g, labels_pred) * 100))

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