#############################################################################
#				AUTOMATIC EvALL TSV REPORT
#
#	We kindly ask you to cite the following work when using EvALL:
#			EvALL: Open Access Evaluation for Information Access Systems
#			Enrique Amigó, Jorge Carrillo-de-Albornoz, Mario Almagro, Julio Gonzalo,
#			Javier Rodrguez-Vidal, Felisa Verdejo
#			In proceedings of SIGIR'17
#
#	This file contains the results for all measures and for all systems. Systems included are:
#			• task1_2539404758.tsv, whose original name is task1_2539404758.tsv_es
#			• task1_AI-UPV_1.tsv_e, whose original name is task1_AI-UPV_1.tsv_es
#			• task1_AI-UPV_2.tsv_e, whose original name is task1_AI-UPV_2.tsv_es
#			• task1_AI-UPV_3.tsv_e, whose original name is task1_AI-UPV_3.tsv_es
#			• task1_AIT_FHSTP_1.ts, whose original name is task1_AIT_FHSTP_1.tsv_es
#			• task1_AIT_FHSTP_2.ts, whose original name is task1_AIT_FHSTP_2.tsv_es
#			• task1_AIT_FHSTP_3.ts, whose original name is task1_AIT_FHSTP_3.tsv_es
#			• task1_avacaondata_1., whose original name is task1_avacaondata_1.tsv_es
#			• task1_avacaondata_2., whose original name is task1_avacaondata_2.tsv_es
#			• task1_avacaondata_3., whose original name is task1_avacaondata_3.tsv_es
#			• task1_BASELINE.tsv_e, whose original name is task1_BASELINE.tsv_es
#			• task1_besiguenza_1.t, whose original name is task1_besiguenza_1.tsv_es
#			• task1_CIMATCOLMEX_1., whose original name is task1_CIMATCOLMEX_1.tsv_es
#			• task1_CIMATCOLMEX_2., whose original name is task1_CIMATCOLMEX_2.tsv_es
#			• task1_CIMATCOLMEX_3., whose original name is task1_CIMATCOLMEX_3.tsv_es
#			• task1_CompLingKnJ_1., whose original name is task1_CompLingKnJ_1.txt_es
#			• task1_CompLingKnJ_2., whose original name is task1_CompLingKnJ_2.txt_es
#			• task1_ELiRF-VRAIN_1., whose original name is task1_ELiRF-VRAIN_1.tsv_es
#			• task1_ELiRF-VRAIN_2., whose original name is task1_ELiRF-VRAIN_2.tsv_es
#			• task1_ELiRF-VRAIN_3., whose original name is task1_ELiRF-VRAIN_3.tsv_es
#			• task1_I2C_1.tsv_es, whose original name is task1_I2C_1.tsv_es
#			• task1_I2C_2.tsv_es, whose original name is task1_I2C_2.tsv_es
#			• task1_I2C_3.tsv_es, whose original name is task1_I2C_3.tsv_es
#			• task1_LPtower_1.csv_, whose original name is task1_LPtower_1.csv_es
#			• task1_LPtower_2_majo, whose original name is task1_LPtower_2_major.csv_es
#			• task1_LPtower_3.csv_, whose original name is task1_LPtower_3.csv_es
#			• task1_multiaztertest, whose original name is task1_multiaztertest_1.tsv_es
#			• task1_multiaztertest_1, whose original name is task1_multiaztertest_2.tsv_es
#			• task1_NIT Agartala N, whose original name is task1_NIT Agartala NLP Team_1.tsv_es
#			• task1_shm2022_1.tsv_, whose original name is task1_shm2022_1.tsv_es
#			• task1_shm2022_2.tsv_, whose original name is task1_shm2022_2.tsv_es
#			• task1_SINAI-TL_1.tsv, whose original name is task1_SINAI-TL_1.tsv_es
#			• task1_SINAI-TL_2.tsv, whose original name is task1_SINAI-TL_2.tsv_es
#			• task1_SINAI-TL_3.tsv, whose original name is task1_SINAI-TL_3.tsv_es
#			• task1_SINAI_1.tsv_es, whose original name is task1_SINAI_1.tsv_es
#			• task1_SINAI_2.tsv_es, whose original name is task1_SINAI_2.tsv_es
#			• task1_SINAI_3.tsv_es, whose original name is task1_SINAI_3.tsv_es
#			• task1_ThangCIC_1.tsv, whose original name is task1_ThangCIC_1.tsv_es
#			• task1_ThangCIC_3.tsv, whose original name is task1_ThangCIC_3.tsv_es
#			• task1_ThangCIC_7.tsv, whose original name is task1_ThangCIC_7.tsv_es
#			• task1_UMU_1_es, whose original name is task1_UMU_1_es
#			• task1_UMU_2_es, whose original name is task1_UMU_2_es
#			• task1_UMU_3_es, whose original name is task1_UMU_3_es
#			• task1_UNED-UPM_1.tsv, whose original name is task1_UNED-UPM_1.tsv_es
#			• task1_UNED-UPM_2.tsv, whose original name is task1_UNED-UPM_2.tsv_es
#			• task1_xaiTUD_1.tsv_e, whose original name is task1_xaiTUD_1.tsv_es
#
#	The next table contains the average result across test case for each measure. 
#	Those measures that do not satisfy the preconditions are marked with -. 
#	Only results of test case present in the gold are taken into account.
#############################################################################
#############################################################################
#	 The measures included in the table are:
#		- Accuracy - Acc
#		- Precision - P
#		- Recall - R
#		- F Measure - F(P, R)
#############################################################################
"Output Name"	"Acc"	"P"	"R"	"F(P, R)"
"task1_2539404758.tsv_es"	"0,7538"	"0,7539"	"0,7534"	"0,7535"
"task1_AI-UPV_1.tsv_es"	"0,7030"	"0,7126"	"0,7049"	"0,7008"
"task1_AI-UPV_2.tsv_es"	"0,7162"	"0,7226"	"0,7177"	"0,7149"
"task1_AI-UPV_3.tsv_es"	"0,7162"	"0,7226"	"0,7177"	"0,7149"
"task1_AIT_FHSTP_1.tsv_es"	"0,7199"	"0,7200"	"0,7195"	"0,7196"
"task1_AIT_FHSTP_2.tsv_es"	"0,6880"	"0,6984"	"0,6900"	"0,6852"
"task1_AIT_FHSTP_3.tsv_es"	"0,7406"	"0,7416"	"0,7411"	"0,7405"
"task1_avacaondata_1.tsv_es"	"0,7575"	"0,7574"	"0,7574"	"0,7574"
"task1_avacaondata_2.tsv_es"	"0,0432"	"0,4792"	"0,0434"	"0,0795"
"task1_avacaondata_3.tsv_es"	"0,7575"	"0,7574"	"0,7574"	"0,7574"
"task1_BASELINE.tsv_es"	"0,6692"	"0,6747"	"0,6673"	"0,6649"
"task1_besiguenza_1.tsv_es"	"0,7143"	"0,7200"	"0,7126"	"0,7113"
"task1_CIMATCOLMEX_1.tsv_es"	"0,7801"	"0,7808"	"0,7805"	"0,7801"
"task1_CIMATCOLMEX_2.tsv_es"	"0,7707"	"0,7727"	"0,7714"	"0,7705"
"task1_CIMATCOLMEX_3.tsv_es"	"0,7688"	"0,7700"	"0,7694"	"0,7687"
"task1_CompLingKnJ_1.txt_es"	"0,7199"	"0,7210"	"0,7205"	"0,7198"
"task1_CompLingKnJ_2.txt_es"	"0,6729"	"0,6745"	"0,6718"	"0,6713"
"task1_ELiRF-VRAIN_1.tsv_es"	"0,7556"	"0,7608"	"0,7569"	"0,7550"
"task1_ELiRF-VRAIN_2.tsv_es"	"0,7519"	"0,7529"	"0,7524"	"0,7518"
"task1_ELiRF-VRAIN_3.tsv_es"	"0,7425"	"0,7495"	"0,7440"	"0,7414"
"task1_I2C_1.tsv_es"	"0,7632"	"0,7652"	"0,7639"	"0,7630"
"task1_I2C_2.tsv_es"	"0,7481"	"0,7526"	"0,7493"	"0,7475"
"task1_I2C_3.tsv_es"	"0,7707"	"0,7706"	"0,7707"	"0,7706"
"task1_LPtower_1.csv_es"	"0,7312"	"0,7313"	"0,7308"	"0,7309"
"task1_LPtower_2_major.csv_es"	"0,7180"	"0,7187"	"0,7174"	"0,7174"
"task1_LPtower_3.csv_es"	"0,4756"	"0,4747"	"0,4748"	"0,4744"
"task1_multiaztertest_1.tsv_es"	"0,7744"	"0,7753"	"0,7749"	"0,7744"
"task1_multiaztertest_2.tsv_es"	"0,7444"	"0,7443"	"0,7441"	"0,7442"
"task1_NIT Agartala NLP Team_1.tsv_es"	"0,7030"	"0,7034"	"0,7024"	"0,7024"
"task1_shm2022_1.tsv_es"	"0,7331"	"0,7350"	"0,7338"	"0,7329"
"task1_shm2022_2.tsv_es"	"0,6974"	"0,7006"	"0,6984"	"0,6968"
"task1_SINAI-TL_1.tsv_es"	"0,7500"	"0,7529"	"0,7509"	"0,7497"
"task1_SINAI-TL_2.tsv_es"	"0,7538"	"0,7559"	"0,7546"	"0,7536"
"task1_SINAI-TL_3.tsv_es"	"0,7500"	"0,7529"	"0,7509"	"0,7497"
"task1_SINAI_1.tsv_es"	"0,7105"	"0,7126"	"0,7113"	"0,7103"
"task1_SINAI_2.tsv_es"	"0,7030"	"0,7029"	"0,7028"	"0,7029"
"task1_SINAI_3.tsv_es"	"0,6880"	"0,6880"	"0,6875"	"0,6875"
"task1_ThangCIC_1.tsv_es"	"0,7556"	"0,7567"	"0,7549"	"0,7550"
"task1_ThangCIC_3.tsv_es"	"0,7368"	"0,7394"	"0,7377"	"0,7365"
"task1_ThangCIC_7.tsv_es"	"0,7387"	"0,7429"	"0,7399"	"0,7381"
"task1_UMU_1_es"	"0,7556"	"0,7570"	"0,7563"	"0,7556"
"task1_UMU_2_es"	"0,7556"	"0,7557"	"0,7558"	"0,7556"
"task1_UMU_3_es"	"0,7613"	"0,7614"	"0,7614"	"0,7613"
"task1_UNED-UPM_1.tsv_es"	"0,6748"	"0,6975"	"0,6778"	"0,6675"
"task1_UNED-UPM_2.tsv_es"	"0,6748"	"0,6923"	"0,6775"	"0,6692"
"task1_xaiTUD_1.tsv_es"	"0,5056"	"0,5094"	"0,5085"	"0,4951"
"Majority Class"	"0,5094"	"0,5094"	"0,5000"	"0,3375"
