Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.2354  0.0072  0.0376  0.0376  0.0375  0.03
Anderszewski 2003   44  0.3028  0.0029  0.0733  0.2261  0.0338  0.08
Ashkenazy 1981   11  0.4410  0.0416  0.0824  0.3378  0.0333  0.10
Bacha 2000   13  0.4381  0.0027  0.0825  0.3331  0.337  0.33
Badura 1965   73  0.2068  0.0066  0.0460  0.0477  0.0377  0.03
Barbosa 1983   60  0.2620  0.0136  0.0537  0.1568  0.0437  0.08
Biret 1990   14  0.4243  0.0012  0.1311  0.4841  0.1511  0.27
Blet 2003   78  0.1871  0.0080  0.0284  0.0283  0.0383  0.02
Block 1995   36  0.346  0.058  0.1235  0.1935  0.1817  0.18
Blumental 1952   79  0.1661  0.0079  0.0282  0.0283  0.0287  0.02
Boshniakovich 1969   58  0.2772  0.0049  0.0462  0.0456  0.0461  0.04
Brailowsky 1960   2  0.4712  0.034  0.165  0.5211  0.454  0.48
Bunin 1987   68  0.2334  0.0075  0.0552  0.0585  0.0362  0.04
Bunin 1987b   67  0.2355  0.0074  0.0464  0.0487  0.0267  0.03
Chiu 1999   34  0.3429  0.0043  0.0640  0.1483  0.0343  0.06
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   38  0.3336  0.0050  0.0554  0.0548  0.0653  0.05
Csalog 1996   1  0.478  0.043  0.126  0.5213  0.502  0.51
Czerny 1949   72  0.2048  0.0059  0.0458  0.0465  0.0374  0.03
Czerny 1990   80  0.1669  0.0083  0.0378  0.0389  0.0289  0.02
Duchoud 2007   48  0.3041  0.0055  0.0555  0.0571  0.0460  0.04
Ezaki 2006   33  0.3418  0.0134  0.0539  0.1480  0.0341  0.06
Falvay 1989   10  0.447  0.046  0.1410  0.4954  0.0518  0.16
Farrell 1958   24  0.3786  0.0038  0.0532  0.2347  0.0530  0.11
Ferenczy 1958   28  0.3515  0.0133  0.0627  0.3132  0.2112  0.26
Fliere 1977   43  0.3179  0.0061  0.0459  0.0465  0.0456  0.04
Fou 1978   17  0.4167  0.0024  0.0623  0.3565  0.0427  0.12
Francois 1956   55  0.285  0.0622  0.0730  0.2668  0.0336  0.09
Friedman 1923   91  -0.0787  0.0091  0.0191  0.0189  0.0291  0.01
Friedman 1923b   90  -0.0782  0.0090  0.0290  0.0289  0.0288  0.02
Friedman 1930   84  0.1073  0.0082  0.0283  0.0283  0.0284  0.02
Garcia 2007   82  0.1558  0.0068  0.0377  0.0384  0.0286  0.02
Garcia 2007b   75  0.1975  0.0070  0.0375  0.0370  0.0379  0.03
Gierzod 1998   20  0.3874  0.0025  0.0721  0.3655  0.0525  0.13
Gornostaeva 1994   39  0.339  0.0419  0.0734  0.2044  0.1223  0.15
Groot 1988   37  0.3476  0.0047  0.0651  0.0684  0.0278  0.03
Harasiewicz 1955   49  0.3033  0.0046  0.0647  0.0661  0.0454  0.05
Hatto 1993   56  0.2880  0.0040  0.0541  0.1380  0.0345  0.06
Hatto 1997   41  0.3237  0.0017  0.0826  0.3276  0.0332  0.10
Horowitz 1949   74  0.1959  0.0067  0.0374  0.0372  0.0370  0.03
Indjic 1988   59  0.2749  0.0039  0.0538  0.1584  0.0251  0.05
Kapell 1951   46  0.3056  0.0056  0.0461  0.0476  0.0366  0.03
Kissin 1993   45  0.3064  0.0053  0.0648  0.0673  0.0450  0.05
Kushner 1989   31  0.3477  0.0052  0.0846  0.0886  0.0347  0.05
Luisada 1991   54  0.2888  0.0060  0.0463  0.0469  0.0455  0.04
Lushtak 2004   18  0.4027  0.0021  0.0812  0.4761  0.0424  0.14
Malcuzynski 1961   50  0.3031  0.0065  0.0470  0.0483  0.0368  0.03
Magaloff 1978   4  0.4638  0.0010  0.104  0.5354  0.0420  0.15
Magin 1975   77  0.1844  0.0081  0.0380  0.0378  0.0365  0.03
Michalowski 1933   76  0.1921  0.0157  0.0469  0.0470  0.0458  0.04
Milkina 1970   8  0.453  0.085  0.153  0.5626  0.325  0.42
Mohovich 1999   42  0.3265  0.0041  0.0636  0.1766  0.0440  0.08
Moravec 1969   57  0.2825  0.0162  0.0468  0.0479  0.0363  0.03
Morozova 2008   71  0.2150  0.0073  0.0466  0.0470  0.0459  0.04
Neighaus 1950   30  0.3440  0.0042  0.0543  0.1186  0.0252  0.05
Niedzielski 1931   83  0.1157  0.0086  0.0286  0.0288  0.0282  0.02
Ohlsson 1999   16  0.4126  0.0023  0.0615  0.4080  0.0331  0.11
Osinska 1989   12  0.4313  0.0211  0.129  0.5042  0.1213  0.24
Pachmann 1927   21  0.3832  0.0018  0.0816  0.4036  0.1910  0.28
Paderewski 1930   40  0.3283  0.0045  0.0545  0.1061  0.0349  0.05
Perlemuter 1992   62  0.2562  0.0069  0.0372  0.0381  0.0364  0.03
Pierdomenico 2008   47  0.3070  0.0044  0.0542  0.1266  0.0344  0.06
Poblocka 1999   15  0.4251  0.0026  0.0717  0.3963  0.0426  0.12
Rabcewiczowa 1932   52  0.2945  0.0048  0.0650  0.0666  0.0446  0.05
Rachmaninoff 1923   89  0.0078  0.0088  0.0287  0.0289  0.0190  0.01
Rangell 2001   19  0.394  0.077  0.1213  0.4145  0.1215  0.22
Richter 1976   27  0.3647  0.0051  0.0649  0.0658  0.0448  0.05
Rosen 1989   7  0.4519  0.0113  0.1019  0.3741  0.1414  0.23
Rosenthal 1930   53  0.2966  0.0058  0.0467  0.0470  0.0376  0.03
Rosenthal 1931   35  0.3446  0.0030  0.0718  0.3725  0.288  0.32
Rosenthal 1931b   32  0.3439  0.0031  0.1222  0.3527  0.279  0.31
Rosenthal 1931c   23  0.3722  0.0132  0.0829  0.2744  0.0919  0.16
Rosenthal 1931d   25  0.3642  0.0028  0.1114  0.4122  0.296  0.34
Rossi 2007   87  0.0352  0.0084  0.0289  0.0277  0.0281  0.02
Rubinstein 1939   22  0.381  0.211  0.217  0.506  0.503  0.50
Rubinstein 1952   3  0.472  0.102  0.211  0.6110  0.521  0.56
Rubinstein 1966   29  0.3560  0.0020  0.0931  0.2640  0.1416  0.19
Schilhawsky 1960   66  0.2389  0.0076  0.0465  0.0471  0.0373  0.03
Shebanova 2002   5  0.4563  0.0014  0.1320  0.3652  0.0622  0.15
Smith 1975   9  0.4511  0.039  0.112  0.5967  0.0421  0.15
Sokolov 2002   61  0.2623  0.0171  0.0373  0.0385  0.0280  0.02
Sztompka 1959   63  0.2335  0.0077  0.0471  0.0484  0.0371  0.03
Tomsic 1995   26  0.3630  0.0035  0.0828  0.2876  0.0334  0.09
Uninsky 1932   86  0.0490  0.0089  0.0381  0.0387  0.0285  0.02
Uninsky 1971   65  0.2314  0.0254  0.0456  0.0482  0.0372  0.03
Wasowski 1980   51  0.3017  0.0137  0.0544  0.1178  0.0342  0.06
Zak 1937   70  0.2284  0.0064  0.0553  0.0574  0.0457  0.04
Zak 1951   69  0.2285  0.0063  0.0457  0.0482  0.0369  0.03
Average   6  0.4516  0.0115  0.108  0.5084  0.0328  0.12
Random 1   88  0.0353  0.0087  0.0285  0.0211  0.4135  0.09
Random 2   85  0.0491  0.0085  0.0288  0.0219  0.3239  0.08
Random 3   81  0.1524  0.0178  0.0379  0.037  0.4529  0.12

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).