Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.5155  0.0064  0.0552  0.0577  0.0360  0.04
Anderszewski 2003   62  0.4156  0.0044  0.0543  0.1171  0.0343  0.06
Ashkenazy 1981   24  0.5935  0.0023  0.0715  0.4060  0.0423  0.13
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   83  0.1438  0.0078  0.0282  0.0286  0.0285  0.02
Barbosa 1983   64  0.4022  0.0137  0.0534  0.1867  0.0440  0.08
Biret 1990   4  0.694  0.078  0.152  0.5630  0.1910  0.33
Blet 2003   47  0.4675  0.0076  0.0377  0.0380  0.0372  0.03
Block 1995   26  0.5653  0.0017  0.0728  0.2724  0.2615  0.26
Blumental 1952   74  0.3128  0.0159  0.0463  0.0455  0.0461  0.04
Boshniakovich 1969   40  0.5032  0.0052  0.0464  0.0460  0.0463  0.04
Brailowsky 1960   9  0.6612  0.025  0.1112  0.4718  0.366  0.41
Bunin 1987   72  0.3668  0.0083  0.0470  0.0480  0.0375  0.03
Bunin 1987b   71  0.3640  0.0082  0.0379  0.0380  0.0369  0.03
Chiu 1999   41  0.5017  0.026  0.126  0.5216  0.394  0.45
Cohen 1997   31  0.5345  0.0019  0.0923  0.3110  0.439  0.37
Cortot 1951   70  0.3662  0.0081  0.0280  0.0282  0.0287  0.02
Csalog 1996   5  0.6920  0.0120  0.109  0.4812  0.473  0.47
Czerny 1949   78  0.2849  0.0074  0.0371  0.0372  0.0374  0.03
Czerny 1990   60  0.4163  0.0070  0.0469  0.0484  0.0277  0.03
Duchoud 2007   30  0.5461  0.0048  0.0649  0.0654  0.0453  0.05
Ezaki 2006   38  0.5123  0.0134  0.0539  0.1283  0.0248  0.05
Falvay 1989   11  0.668  0.039  0.163  0.5534  0.1611  0.30
Farrell 1958   7  0.6857  0.0031  0.0629  0.2266  0.0435  0.09
Ferenczy 1958   44  0.4821  0.0162  0.0553  0.0569  0.0359  0.04
Fliere 1977   27  0.5687  0.0046  0.0745  0.0780  0.0349  0.05
Fou 1978   20  0.6018  0.0124  0.1016  0.4052  0.0618  0.15
Francois 1956   59  0.4281  0.0065  0.0647  0.0680  0.0366  0.04
Friedman 1923   88  0.0076  0.0090  0.0190  0.0181  0.0389  0.02
Friedman 1923b   86  0.0171  0.0089  0.0288  0.0284  0.0386  0.02
Friedman 1930   87  0.0089  0.0086  0.0281  0.0285  0.0283  0.02
Garcia 2007   56  0.4369  0.0055  0.0459  0.0435  0.2036  0.09
Garcia 2007b   82  0.1824  0.0150  0.0460  0.0437  0.1047  0.06
Gierzod 1998   8  0.6719  0.0112  0.1010  0.4760  0.0420  0.14
Gornostaeva 1994   32  0.5351  0.0057  0.0550  0.0584  0.0276  0.03
Groot 1988   19  0.6129  0.0139  0.0637  0.1473  0.0345  0.06
Harasiewicz 1955   80  0.2141  0.0041  0.0641  0.1186  0.0346  0.06
Hatto 1993   50  0.4464  0.0015  0.1127  0.3044  0.0721  0.14
Hatto 1997   39  0.5047  0.0022  0.0726  0.3155  0.0329  0.10
Horowitz 1949   42  0.4973  0.0040  0.0538  0.1450  0.0538  0.08
Indjic 1988   46  0.4714  0.0214  0.0821  0.3238  0.1216  0.20
Kapell 1951   35  0.5237  0.0063  0.0646  0.0662  0.0451  0.05
Kissin 1993   28  0.5682  0.0026  0.0625  0.3160  0.0428  0.11
Kushner 1989   25  0.5831  0.0042  0.0542  0.1166  0.0342  0.06
Luisada 1991   15  0.622  0.142  0.141  0.5715  0.392  0.47
Lushtak 2004   48  0.4658  0.0029  0.0632  0.2175  0.0341  0.08
Malcuzynski 1961   22  0.6036  0.0053  0.0555  0.0554  0.0456  0.04
Magaloff 1978   13  0.6359  0.0016  0.0719  0.3749  0.0424  0.12
Magin 1975   49  0.4483  0.0043  0.0544  0.1059  0.0350  0.05
Michalowski 1933   84  0.1125  0.0161  0.0466  0.0471  0.0457  0.04
Milkina 1970   1  0.731  0.141  0.144  0.5318  0.375  0.44
Mohovich 1999   16  0.6244  0.0027  0.0624  0.3171  0.0330  0.10
Moravec 1969   29  0.5548  0.0035  0.0435  0.1634  0.1517  0.15
Morozova 2008   77  0.2926  0.0136  0.0640  0.1177  0.0344  0.06
Neighaus 1950   18  0.6211  0.0225  0.1418  0.3762  0.0425  0.12
Niedzielski 1931   45  0.4772  0.0051  0.0465  0.0430  0.1837  0.08
Ohlsson 1999   12  0.6465  0.0013  0.087  0.5136  0.1613  0.29
Osinska 1989   43  0.4942  0.0032  0.0633  0.2066  0.0432  0.09
Pachmann 1927   36  0.5113  0.0230  0.0736  0.1447  0.0539  0.08
Paderewski 1930   52  0.4450  0.0060  0.0461  0.0467  0.0371  0.03
Perlemuter 1992   66  0.3815  0.0247  0.0551  0.0570  0.0354  0.04
Pierdomenico 2008   51  0.4474  0.0038  0.0530  0.2262  0.0433  0.09
Poblocka 1999   10  0.6616  0.0221  0.0820  0.3363  0.0426  0.11
Rabcewiczowa 1932   67  0.3833  0.0058  0.0648  0.0670  0.0355  0.04
Rachmaninoff 1923   81  0.2143  0.0075  0.0372  0.0377  0.0367  0.03
Rangell 2001   6  0.687  0.053  0.1017  0.3831  0.2114  0.28
Richter 1976   61  0.4188  0.0067  0.0374  0.0384  0.0370  0.03
Rosen 1989   2  0.706  0.057  0.1413  0.4524  0.358  0.40
Rosenthal 1930   75  0.3166  0.0085  0.0285  0.0288  0.0190  0.01
Rosenthal 1931   69  0.3784  0.0073  0.0373  0.0379  0.0282  0.02
Rosenthal 1931b   57  0.4377  0.0066  0.0557  0.0560  0.0465  0.04
Rosenthal 1931c   65  0.4030  0.0177  0.0284  0.0286  0.0288  0.02
Rosenthal 1931d   34  0.5385  0.0054  0.0462  0.0457  0.0564  0.04
Rossi 2007   89  -0.0470  0.0079  0.0287  0.0277  0.0379  0.02
Rubinstein 1939   68  0.3754  0.0069  0.0468  0.0435  0.2134  0.09
Rubinstein 1952   14  0.6352  0.0018  0.0714  0.4224  0.407  0.41
Rubinstein 1966   21  0.6039  0.0049  0.0554  0.0562  0.0458  0.04
Schilhawsky 1960   54  0.4367  0.0056  0.0556  0.0585  0.0273  0.03
Shebanova 2002   3  0.699  0.034  0.115  0.5215  0.471  0.49
Smith 1975   55  0.4378  0.0045  0.0458  0.0467  0.0368  0.03
Sokolov 2002   58  0.4234  0.0071  0.0378  0.0383  0.0278  0.02
Sztompka 1959   73  0.3290  0.0084  0.0376  0.0380  0.0280  0.02
Tomsic 1995   17  0.625  0.0628  0.0822  0.3165  0.0427  0.11
Uninsky 1932   79  0.2427  0.0180  0.0286  0.0281  0.0384  0.02
Uninsky 1971   63  0.4046  0.0072  0.0375  0.0384  0.0281  0.02
Wasowski 1980   53  0.4360  0.0033  0.0631  0.2158  0.0431  0.09
Zak 1937   23  0.593  0.0810  0.148  0.4838  0.1712  0.29
Zak 1951   33  0.5310  0.0211  0.1411  0.4752  0.0519  0.15
Random 1   85  0.0179  0.0088  0.0289  0.0244  0.1062  0.04
Random 2   90  -0.0980  0.0087  0.0283  0.0237  0.1552  0.05
Random 3   76  0.3086  0.0068  0.0467  0.0410  0.4422  0.13

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).