rtichoke: rtichoke

## code to prepare `example_dat` dataset goes here

tibble::tribble(
  ~estimated_probabilities, ~bad_model, ~random_guess, ~outcome, ~type_of_set,
  0.80728447106065, 0.509076043587894, 0.210867616115138, TRUE, "test",
  0.921839057030858, 0.50421424723731, 0.086589437443763, TRUE, "test",
  0.9707656358232, 0.952410790014697, 0.934055944206193, TRUE, "train",
  0.982369029966052, 0.878072288505202, 0.773775547044352, TRUE, "test",
  0.875449996374463, 0.905052121578674, 0.934654246782884, TRUE, "train",
  0.469974050417297, 0.289543385444086, 0.109112720470876, TRUE, "train",
  0.982369029966052, 0.92920209249801, 0.876035155029967, TRUE, "test",
  0.875449996374463, 0.491370267899665, 0.107290539424866, TRUE, "train",
  0.993665876982344, 0.701859500351167, 0.41005312371999, TRUE, "train",
  0.921839057030858, 0.839909472749919, 0.757979888468981, TRUE, "test",
  0.469974050417297, 0.547832957877655, 0.625691865338013, TRUE, "train",
  0.951899660263221, 0.622003789747139, 0.292107919231057, TRUE, "test",
  0.951899660263221, 0.879640778166247, 0.807381896069273, TRUE, "test",
  0.996215385502889, 0.815185261250816, 0.634155136998743, TRUE, "train",
  0.100604332312437, 0.395509165609003, 0.690413998905569, TRUE, "train",
  0.158030209215927, 0.207362315194035, 0.256694421172142, TRUE, "test",
  0.469974050417297, 0.242948867090855, 0.015923683764413, TRUE, "test",
  0.80728447106065, 0.662448369522364, 0.517612267984077, TRUE, "train",
  0.158030209215927, 0.31788606980844, 0.477741930400953, TRUE, "train",
  0.80728447106065, 0.442304663915903, 0.0773248567711562, TRUE, "train",
  0.469974050417297, 0.308621565521572, 0.147269080625847, TRUE, "test",
  0.80728447106065, 0.592992226101243, 0.378699981141835, TRUE, "train",
  0.982369029966052, 0.962462900242237, 0.942556770518422, TRUE, "test",
  0.80728447106065, 0.598669141853944, 0.390053812647238, TRUE, "test",
  0.951899660263221, 0.93012284183689, 0.908346023410559, TRUE, "train",
  0.875449996374463, 0.626542196924756, 0.377634397475049, TRUE, "train",
  0.875449996374463, 0.86364965125821, 0.851849306141958, TRUE, "train",
  0.713999997585455, 0.836655258780067, 0.959310519974679, TRUE, "test",
  0.713999997585455, 0.472812897988317, 0.231625798391178, TRUE, "train",
  0.9707656358232, 0.735836818225366, 0.500908000627533, TRUE, "test",
  0.951899660263221, 0.912091397902002, 0.872283135540783, TRUE, "test",
  0.469974050417297, 0.419756934222643, 0.369539818027988, TRUE, "test",
  0.713999997585455, 0.829894100894873, 0.945788204204291, TRUE, "train",
  0.345739882451873, 0.218198562862081, 0.0906572432722896, TRUE, "train",
  0.921839057030858, 0.474873874932878, 0.0279086928348988, TRUE, "train",
  0.875449996374463, 0.495973515756386, 0.116497035138309, TRUE, "test",
  0.345739882451873, 0.294907077338276, 0.24407427222468, TRUE, "train",
  0.921839057030858, 0.933316549184152, 0.944794041337445, TRUE, "train",
  0.993665876982344, 0.805611690598345, 0.617557504214346, TRUE, "test",
  0.80728447106065, 0.895996684065804, 0.984708897070959, TRUE, "train",
  0.875449996374463, 0.828523557716007, 0.781597119057551, TRUE, "train",
  0.989417134942007, 0.550952663374825, 0.112488191807643, TRUE, "train",
  0.993665876982344, 0.846287882629587, 0.69890988827683, TRUE, "train",
  0.875449996374463, 0.697305670207324, 0.519161344040185, TRUE, "test",
  0.80728447106065, 0.707336419817776, 0.607388368574902, TRUE, "train",
  0.951899660263221, 0.669643005345022, 0.387386350426823, TRUE, "test",
  0.80728447106065, 0.856380212443665, 0.905475953826681, TRUE, "test",
  0.982369029966052, 0.560751720134569, 0.139134410303086, TRUE, "train",
  0.598043910369067, 0.377526800102449, 0.157009689835832, TRUE, "test",
  0.875449996374463, 0.479685394292655, 0.0839207922108471, TRUE, "train",
  0.000224510064166306, 0.0589195215589387, 0.117614533053711, FALSE, "train",
  0.00498687428215937, 0.370580065756936, 0.736173257231712, FALSE, "train",
  0.000376658203479926, 0.015104082723348, 0.029831507243216, FALSE, "train",
  0.345739882451873, 0.58857312822408, 0.831406373996288, FALSE, "test",
  0.00297801329411609, 0.490189691272713, 0.977401369251311, FALSE, "train",
  0.158030209215927, 0.47870462683058, 0.799379044445232, FALSE, "test",
  0.00833950619639248, 0.0475187791020487, 0.086698052007705, FALSE, "train",
  0.921839057030858, 0.892818338484854, 0.86379761993885, FALSE, "train",
  0.00177693598715794, 0.350524540519334, 0.699272145051509, FALSE, "train",
  0.713999997585455, 0.616038732576837, 0.518077467568219, FALSE, "train",
  0.875449996374463, 0.64499055439509, 0.414531112415716, FALSE, "train",
  0.0624972257918931, 0.503787563283335, 0.945077900774777, FALSE, "test",
  0.0382111579717957, 0.165289642269624, 0.292368126567453, FALSE, "test",
  0.0231296821530497, 0.462128204225356, 0.901126726297662, FALSE, "train",
  0.239506299197465, 0.452024737284415, 0.664543175371364, FALSE, "test",
  0.00105975623147627, 0.333204007050479, 0.665348257869482, FALSE, "train",
  0.239506299197465, 0.507093856721081, 0.774681414244696, FALSE, "train",
  0.100604332312437, 0.325450314455414, 0.55029629659839, FALSE, "test",
  0.0139145633434201, 0.224196752125643, 0.434478940907866, FALSE, "train",
  0.239506299197465, 0.386665175231069, 0.533824051264673, FALSE, "train",
  0.0624972257918931, 0.160028389755975, 0.257559553720057, FALSE, "train",
  0.0231296821530497, 0.204124422792138, 0.385119163431227, FALSE, "train",
  0.00833950619639248, 0.449639770129963, 0.890940034063533, FALSE, "train",
  0.0231296821530497, 0.307490608237477, 0.591851534321904, FALSE, "train",
  0.00498687428215937, 0.341311803780396, 0.677636733278632, FALSE, "train",
  0.00177693598715794, 0.138559302425935, 0.275341668864712, FALSE, "test",
  0.000631850392767892, 0.240060082843167, 0.479488315293565, FALSE, "train",
  0.00105975623147627, 0.319016506587612, 0.636973256943747, FALSE, "train",
  0.0382111579717957, 0.190731229124492, 0.343251300277188, FALSE, "train",
  0.158030209215927, 0.422051307321811, 0.686072405427694, FALSE, "train",
  0.345739882451873, 0.187418967375262, 0.0290980522986501, FALSE, "train",
  0.345739882451873, 0.394162331015533, 0.442584779579192, FALSE, "train",
  0.100604332312437, 0.433432238888675, 0.766260145464912, FALSE, "train",
  0.0382111579717957, 0.0694285378361996, 0.100645917700604, FALSE, "train",
  0.469974050417297, 0.423031065323268, 0.376088080229238, FALSE, "test",
  0.0382111579717957, 0.516377605478181, 0.994544052984565, FALSE, "train",
  0.00105975623147627, 0.264944531064937, 0.528829305898398, FALSE, "train",
  0.00833950619639248, 0.464771137151203, 0.921202768106014, FALSE, "train",
  0.239506299197465, 0.388055419810012, 0.536604540422559, FALSE, "train",
  0.345739882451873, 0.483048539614966, 0.620357196778059, FALSE, "train",
  0.345739882451873, 0.21127674950446, 0.0768136165570468, FALSE, "train",
  0.0231296821530497, 0.128232713371308, 0.233335744589567, FALSE, "train",
  0.100604332312437, 0.351606378694744, 0.602608425077051, FALSE, "train",
  0.875449996374463, 0.551454213530714, 0.227458430686966, FALSE, "test",
  0.239506299197465, 0.546556564890675, 0.853606830583885, FALSE, "test",
  0.158030209215927, 0.547833475792134, 0.93763674236834, FALSE, "test",
  0.158030209215927, 0.525773959625797, 0.893517710035667, FALSE, "train",
  0.0139145633434201, 0.492566046246573, 0.971217529149726, FALSE, "train",
  0.80728447106065, 0.779914161746175, 0.7525438524317, FALSE, "test",
  0.158030209215927, 0.531270752121048, 0.904511295026168, FALSE, "train",
  0.00833950619639248, 0.420632557521841, 0.83292560884729, FALSE, "train",
  0.100604332312437, 0.319068518015304, 0.537532703718171, FALSE, "train",
  0.000133812750234088, 0.455976399172335, 0.911818985594437, FALSE, "train",
  0.00833950619639248, 0.427582073418691, 0.846824640640989, FALSE, "train",
  0.00297801329411609, 0.00510494465768359, 0.00723187602125108, FALSE, "test",
  1.0061498737969e-05, 0.331339661126028, 0.662669260753319, FALSE, "test",
  0.921839057030858, 0.73992730550503, 0.558015553979203, FALSE, "test",
  4.75312837945487e-05, 0.0734589003619545, 0.146870269440114, FALSE, "test",
  0.00105975623147627, 0.354713243124532, 0.708366730017588, FALSE, "train",
  7.97523086622749e-05, 0.1068581600624, 0.213636567816138, FALSE, "train",
  0.00297801329411609, 0.219790191006065, 0.436602368718013, FALSE, "train",
  0.00498687428215937, 0.339510083774936, 0.674033293267712, FALSE, "test",
  0.000631850392767892, 0.086466990035598, 0.172302129678428, FALSE, "test",
  0.158030209215927, 0.407107696212182, 0.656185183208436, FALSE, "train",
  0.100604332312437, 0.438857413260014, 0.777110494207591, FALSE, "train",
  0.00498687428215937, 0.311429249582712, 0.617871624883264, FALSE, "train",
  0.00297801329411609, 0.258235193521865, 0.513492373749614, FALSE, "train",
  5.99634661376222e-06, 0.0626155210324332, 0.125225045718253, FALSE, "train",
  5.99634661376222e-06, 0.475318823372084, 0.950631650397554, FALSE, "train",
  0.0382111579717957, 0.0937964750722926, 0.14938179217279, FALSE, "test",
  0.000376658203479926, 0.157449034120156, 0.314521410036832, FALSE, "train",
  0.239506299197465, 0.458534572068498, 0.67756284493953, FALSE, "train",
  5.99634661376222e-06, 0.0264678775696784, 0.0529297587927431, FALSE, "train",
  0.00833950619639248, 0.490477678177214, 0.972615850158036, FALSE, "train",
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  7.97523086622749e-05, 0.249679204257844, 0.499278656207025, FALSE, "train",
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  0.0231296821530497, 0.133239368839914, 0.243349055526778, FALSE, "test",
  0.00498687428215937, 0.213754222140547, 0.422521569998935, FALSE, "train",
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  2.83276254333385e-05, 0.0723289530986, 0.144629578571767, FALSE, "test",
  2.12977135191622e-06, 0.0273250231168122, 0.0546479164622724, FALSE, "train",
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  0.00833950619639248, 0.325819538833841, 0.643299571471289, FALSE, "test",
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  0.0382111579717957, 0.30010536741828, 0.561999576864764, FALSE, "test",
  0.000376658203479926, 0.312121790562025, 0.62386692292057, FALSE, "train",
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  0.000376658203479926, 0.46616422276312, 0.93195178732276, FALSE, "train",
  0.100604332312437, 0.474373834454202, 0.848143336595967, FALSE, "train",
  0.000631850392767892, 0.138165273327951, 0.275698696263134, FALSE, "test",
  0.00105975623147627, 0.0934980627330862, 0.185936369234696, FALSE, "test",
  0.00105975623147627, 0.240608691744963, 0.48015762725845, FALSE, "test",
  0.00833950619639248, 0.0882930165829946, 0.168246526969597, FALSE, "train",
  0.00297801329411609, 0.164872407646068, 0.326766801998019, FALSE, "test",
  0.0139145633434201, 0.316028875938862, 0.618143188534304, FALSE, "train",
  0.0624972257918931, 0.344855813992548, 0.627214402193204, FALSE, "train"
)

usethis::use_data(example_dat, overwrite = TRUE)