0230c39422548acc35f2df49e5a7f40c06a76ee3,tests/test_architectures.py,,test_shallow_CNN,#,45

Before Change

def test_shallow_CNN():
    run(use_deep_CNN=False, use_RNN=False, label="Shallow CNN",
        golden_results=OrderedDict([("Loss", 0.70371496533279465),
                                    ("Balanced accuracy", 55.639097744360896),
                                    ("auROC", 0.50877192982456143),
                                    ("auPRC", 0.58026674651508325),
                                    ("Recall at 5% FDR", 9.5238095238095237),
                                    ("Recall at 10% FDR", 9.5238095238095237),
                                    ("Recall at 20% FDR", 9.5238095238095237),
                                    ("Num Positives", 21),
                                    ("Num Negatives", 19)]))


def test_deep_CNN():

After Change

def test_shallow_CNN():
    run(use_deep_CNN=False, use_RNN=False, label="Shallow CNN",
        golden_results=golden_results_shallow_CNN)


def test_deep_CNN():
    run(use_deep_CNN=True, use_RNN=False, label="Deep CNN",

Instances