Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3060  0.0077  0.0373  0.0346  0.0567  0.04
Anderszewski 2003   17  0.4414  0.0114  0.1711  0.6340  0.2214  0.37
Ashkenazy 1981   44  0.3352  0.0058  0.0461  0.0468  0.0384  0.03
Bacha 2000   58  0.3062  0.0052  0.0650  0.0637  0.2333  0.12
Badura 1965   64  0.2732  0.0039  0.0640  0.1379  0.0352  0.06
Barbosa 1983   16  0.4513  0.019  0.137  0.6643  0.1418  0.30
Biret 1990   28  0.398  0.0218  0.1023  0.5043  0.0825  0.20
Blet 2003   72  0.2584  0.0083  0.0458  0.0475  0.0377  0.03
Block 1995   45  0.3315  0.0142  0.0643  0.1168  0.0446  0.07
Blumental 1952   42  0.3439  0.0053  0.0845  0.0867  0.0553  0.06
Boshniakovich 1969   25  0.4030  0.0010  0.1114  0.6140  0.1319  0.28
Brailowsky 1960   30  0.3753  0.0037  0.0837  0.2248  0.0735  0.12
Bunin 1987   51  0.3133  0.0067  0.0552  0.0567  0.0469  0.04
Bunin 1987b   61  0.2881  0.0068  0.0553  0.0567  0.0464  0.04
Chiu 1999   80  0.2278  0.0078  0.0380  0.0383  0.0287  0.02
Cohen 1997   48  0.3263  0.0056  0.0470  0.0467  0.0468  0.04
Cortot 1951   52  0.3144  0.0064  0.0372  0.0333  0.3040  0.09
Csalog 1996   53  0.3136  0.0047  0.0748  0.0765  0.0458  0.05
Czerny 1949   10  0.4610  0.0111  0.1113  0.6234  0.416  0.50
Czerny 1990   12  0.4625  0.0013  0.145  0.6744  0.1417  0.31
Duchoud 2007   86  0.1342  0.0085  0.0287  0.0269  0.0480  0.03
Ezaki 2006   19  0.4470  0.0023  0.1421  0.5246  0.0726  0.19
Falvay 1989   29  0.3975  0.0036  0.0831  0.2981  0.0436  0.11
Farrell 1958   63  0.2754  0.0049  0.0457  0.0468  0.0463  0.04
Ferenczy 1958   49  0.3237  0.0062  0.0464  0.0454  0.0659  0.05
Fliere 1977   18  0.4448  0.0020  0.1118  0.5769  0.0527  0.17
Fou 1978   8  0.464  0.035  0.119  0.6524  0.347  0.47
Francois 1956   67  0.2645  0.0063  0.0469  0.0469  0.0471  0.04
Friedman 1923   85  0.1585  0.0086  0.0283  0.0283  0.0390  0.02
Friedman 1923b   84  0.1682  0.0084  0.0285  0.0285  0.0389  0.02
Friedman 1930   87  0.1086  0.0087  0.0288  0.0267  0.0478  0.03
Garcia 2007   83  0.1783  0.0080  0.0377  0.0374  0.0481  0.03
Garcia 2007b   71  0.2571  0.0055  0.0467  0.0472  0.0472  0.04
Gierzod 1998   11  0.465  0.033  0.1615  0.6137  0.2711  0.41
Gornostaeva 1994   35  0.3635  0.0045  0.0649  0.0668  0.0461  0.05
Groot 1988   50  0.3165  0.0061  0.0459  0.0483  0.0385  0.03
Harasiewicz 1955   2  0.511  0.391  0.381  0.7522  0.542  0.64
Hatto 1993   66  0.2787  0.0031  0.0734  0.2376  0.0439  0.10
Hatto 1997   65  0.2728  0.0032  0.1135  0.2372  0.0437  0.10
Horowitz 1949   59  0.3055  0.0074  0.0463  0.0459  0.0565  0.04
Indjic 1988   68  0.2688  0.0035  0.0738  0.1682  0.0343  0.07
Kapell 1951   22  0.4350  0.0026  0.1124  0.4960  0.0628  0.17
Kissin 1993   13  0.4527  0.008  0.1110  0.6422  0.514  0.57
Kushner 1989   31  0.3772  0.0029  0.1228  0.3862  0.0532  0.14
Luisada 1991   36  0.3618  0.0154  0.0551  0.0572  0.0462  0.04
Lushtak 2004   34  0.3617  0.0127  0.1126  0.4362  0.0530  0.15
Malcuzynski 1961   3  0.483  0.044  0.113  0.7137  0.2810  0.45
Magaloff 1978   6  0.4711  0.016  0.094  0.7017  0.483  0.58
Magin 1975   32  0.3743  0.0043  0.0542  0.1185  0.0349  0.06
Michalowski 1933   79  0.2324  0.0076  0.0378  0.0341  0.1151  0.06
Milkina 1970   14  0.4526  0.0016  0.138  0.6548  0.0723  0.21
Mohovich 1999   33  0.3758  0.0046  0.0746  0.0765  0.0460  0.05
Moravec 1969   21  0.437  0.0219  0.1019  0.5435  0.2016  0.33
Morozova 2008   5  0.4719  0.0112  0.176  0.6719  0.495  0.57
Neighaus 1950   74  0.2473  0.0082  0.0468  0.0485  0.0286  0.03
Niedzielski 1931   75  0.2459  0.0071  0.0381  0.0374  0.0475  0.03
Ohlsson 1999   70  0.2576  0.0066  0.0462  0.0472  0.0466  0.04
Osinska 1989   39  0.3566  0.0034  0.0633  0.2763  0.0534  0.12
Pachmann 1927   81  0.2089  0.0075  0.0284  0.0252  0.0576  0.03
Paderewski 1930   82  0.1867  0.0070  0.0376  0.0337  0.1642  0.07
Perlemuter 1992   76  0.2441  0.0079  0.0382  0.0371  0.0473  0.03
Pierdomenico 2008   73  0.2446  0.0081  0.0375  0.0375  0.0374  0.03
Poblocka 1999   24  0.4138  0.0033  0.0632  0.2854  0.0829  0.15
Rabcewiczowa 1932   23  0.4216  0.0122  0.1322  0.5143  0.1121  0.24
Rachmaninoff 1923   26  0.4022  0.0128  0.1229  0.3758  0.0531  0.14
Rangell 2001   27  0.3947  0.0030  0.0730  0.3640  0.1720  0.25
Richter 1976   9  0.466  0.0215  0.1220  0.5324  0.428  0.47
Rosen 1989   77  0.2477  0.0072  0.0374  0.0378  0.0383  0.03
Rosenthal 1930   62  0.2768  0.0073  0.0379  0.0371  0.0482  0.03
Rosenthal 1931   60  0.2979  0.0057  0.0466  0.0438  0.1444  0.07
Rosenthal 1931b   69  0.2656  0.0059  0.0460  0.0442  0.1448  0.07
Rosenthal 1931c   57  0.3040  0.0060  0.0465  0.0444  0.1054  0.06
Rosenthal 1931d   78  0.2361  0.0069  0.0456  0.0460  0.0470  0.04
Rossi 2007   41  0.3449  0.0038  0.0836  0.2331  0.2422  0.23
Rubinstein 1939   15  0.4523  0.0121  0.1317  0.5728  0.359  0.45
Rubinstein 1952   4  0.4731  0.0017  0.1612  0.6347  0.0724  0.21
Rubinstein 1966   7  0.4721  0.017  0.1016  0.5941  0.2315  0.37
Schilhawsky 1960   37  0.3557  0.0041  0.0641  0.1358  0.0445  0.07
Shebanova 2002   56  0.3069  0.0065  0.0371  0.0379  0.0479  0.03
Smith 1975   40  0.3420  0.0140  0.0639  0.1456  0.0541  0.08
Sokolov 2002   38  0.359  0.0224  0.1327  0.4228  0.3912  0.40
Sztompka 1959   20  0.4312  0.0125  0.1125  0.4935  0.3013  0.38
Tomsic 1995   43  0.3364  0.0044  0.0544  0.1073  0.0450  0.06
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.562  0.262  0.322  0.748  0.621  0.68
Wasowski 1980   46  0.3380  0.0048  0.0555  0.0568  0.0555  0.05
Zak 1937   47  0.3290  0.0050  0.0554  0.0556  0.0556  0.05
Zak 1951   54  0.3074  0.0051  0.0747  0.0776  0.0357  0.05
Random 1   90  -0.0729  0.0090  0.0190  0.0161  0.0388  0.02
Random 2   88  0.0934  0.0088  0.0286  0.023  0.5238  0.10
Random 3   89  -0.0451  0.0089  0.0289  0.0227  0.2347  0.07

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).