model,training_regime,strategy,accuracy,balanced_accuracy,precision,recall,specificity,f1,auc_roc,source_table,note
Word2Vec+LSTM,regular,combined,0.6675,0.6573,0.6914,0.5133,0.8012,0.5892,0.7294,Table 4.1,
GloVe+LSTM,regular,combined,0.6779,0.6627,0.7591,0.4491,0.8763,0.5644,0.7532,Table 4.1,
FastText+LSTM,regular,combined,0.6610,0.6496,0.6906,0.4895,0.8097,0.5729,0.7208,Table 4.1,
GloVe+BiLSTM,langwise_regular,english,0.776238,0.776579,0.756138,0.808274,0.744885,0.781337,0.854612,Table 4.2,
Word2Vec+BiLSTM,langwise_regular,english,0.719049,0.719050,0.722072,0.712444,0.725656,0.717226,0.797342,Table 4.2,
FastText+BiLSTM,langwise_regular,english,0.752355,0.750867,0.740920,0.798956,0.702778,0.768844,0.825146,Table 4.2,
GloVe+BiLSTM,langwise_regular,hindi,0.550690,0.500000,0.000000,0.000000,1.000000,0.000000,0.486025,Table 4.3,DEGENERATE - predicts all non-hate; see NOTES.md
Word2Vec+BiLSTM,langwise_regular,hindi,0.600274,0.579456,0.578161,0.385736,0.773177,0.462741,0.604954,Table 4.3,
FastText+BiLSTM,langwise_regular,hindi,0.645194,0.622978,0.612500,0.467780,0.778175,0.530447,0.673262,Table 4.3,
GloVe+BiLSTM,langwise_regular,hinglish,0.697939,0.638326,0.772000,0.344029,0.932624,0.475956,0.705756,Table 4.4,
Word2Vec+BiLSTM,langwise_regular,hinglish,0.706211,0.662119,0.682540,0.461538,0.862700,0.550694,0.740799,Table 4.4,
FastText+BiLSTM,langwise_regular,hinglish,0.691358,0.619592,0.710843,0.318919,0.920266,0.440299,0.688354,Table 4.4,
GloVe+BiLSTM,langwise_regular,combined,0.683009,0.677217,0.681793,0.595574,0.758861,0.635774,0.763671,Table 4.5,
Word2Vec+BiLSTM,langwise_regular,combined,0.670357,0.662825,0.676418,0.556663,0.768987,0.610726,0.736175,Table 4.5,
FastText+BiLSTM,langwise_regular,combined,0.676610,0.665650,0.710953,0.511679,0.819620,0.595076,0.754570,Table 4.5,
GloVe+BiLSTM,multistage,english,0.6106,0.6258,0.5532,0.8407,0.4110,0.6673,0.6250,Table 4.6,
Word2Vec+BiLSTM,multistage,english,0.587438,0.588573,0.550975,0.604570,0.572574,0.576531,0.636518,Table 4.6,
GloVe+BiLSTM,multistage,hindi,0.5276,0.5382,0.4939,0.6885,0.3880,0.5752,0.5192,Table 4.7,
Word2Vec+BiLSTM,multistage,hindi,0.624492,0.624139,0.591543,0.619163,0.629114,0.605038,0.673203,Table 4.7,
FastText+BiLSTM,multistage,hindi,0.585889,0.585743,0.514705,0.584725,0.586762,0.547486,0.612223,Table 4.7,
GloVe+BiLSTM,multistage,hinglish,0.5198,0.5147,0.4816,0.4431,0.5863,0.4616,0.5225,Table 4.8,
Word2Vec+BiLSTM,multistage,hinglish,0.566539,0.536258,0.720000,0.109436,0.963080,0.189994,0.577701,Table 4.8,
FastText+BiLSTM,multistage,hinglish,0.728395,0.651575,0.884057,0.329729,0.973421,0.480314,0.687276,Table 4.8,
GloVe+BiLSTM,multistage,combined,0.8204,0.8186,0.8149,0.7935,0.8437,0.8041,0.9139,Table 4.9,BEST MODEL for this submission
Word2Vec+BiLSTM,multistage,combined,0.730456,0.726676,0.726390,0.673395,0.779958,0.698889,0.809126,Table 4.9,
FastText+BiLSTM,multistage,combined,0.701762,0.700688,0.676668,0.685554,0.715822,0.681082,0.770482,Table 4.9,