Create Training Set

Model Title

Train	application_name	system_name	processors	num_mpi	num_omppn	input	frequency	executable_name	scenario	frequency	papi_tot_cyc	papi_tot_ins	papi_l1_tcm	papi_l2_tcm	papi_fml_ins	papi_br_tkn	papi_l2_ldm	papi_l2_stm	papi_fdv_ins	papi_br_cn	papi_tot_iis	papi_ca_shr	papi_ca_cln	papi_ca_itv	papi_br_ntk	papi_br_msp	papi_fp_ins	papi_res_stl	papi_l1_ldm	papi_l1_stm	papi_l2_tcw	papi_l2_dca	papi_l2_dcr	papi_l2_dcw	papi_l1_icm	papi_br_ins	papi_l1_dch	papi_l1_dca	papi_l1_dcm	papi_l1_tca	papi_l1_ica	papi_fp_ops	papi_l2_ica	papi_tlb_dm	papi_vec_ins	papi_l2_dcm	papi_l2_icm	papi_l2_tch	papi_l2_tca	papi_ld_ins	papi_sr_ins	papi_tlb_im	papi_hw_int	papi_l3_tcm	nruntime	power_sys	power_cpu	power_mem	num_mpi	num_omppn	scaling_factor
	Heat Distribution Code	SNL Haswell Shepard	192	192	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.8474564189506852	0.0149119203847589	0.0133753528976422	0.0	0.0064722744723897	0.3338817837803063	0.1012045014753977	0.0	0.0048760108116714	0.0	0.0163338627634926	0.006935929780453	0.0204723461220681	0.0592358803884053	0.0353938109214653	0.0	0.0259127312057168	0.0166734931223296	0.6630930771723553	0.0150170855503021	0.0081652247947104	0.0170863957467141	0.0149976556321775	0.0073291010212493	0.0189675938893561	0.0	0.0	1.54486699687e-05	0.0	0.0	0.0	0.0778025081002586	0.0242860659136565	0.0	6.33856682157e-05	4.796233223e-07	0.0	8.8845233328e-06	0.0133858784277066	1.80132081019e-05	1.62995788285e-05	0.0	0.001980150217422	4.4057939454e-10	330.017717	251.27127	62.498458	192	1	3271013170065.899378318