Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.4272  0.0071  0.0374  0.0362  0.0478  0.03
Anderszewski 2003   52  0.4230  0.0033  0.0537  0.1561  0.0348  0.07
Ashkenazy 1981   9  0.5913  0.028  0.106  0.5334  0.2012  0.33
Bacha 2000   70  0.3384  0.0084  0.0286  0.0269  0.0386  0.02
Badura 1965   64  0.4056  0.0057  0.0364  0.0367  0.0481  0.03
Barbosa 1983   66  0.3845  0.0042  0.0642  0.1277  0.0447  0.07
Biret 1990   65  0.4044  0.0066  0.0370  0.0358  0.0483  0.03
Blet 2003   14  0.552  0.132  0.145  0.5411  0.445  0.49
Block 1995   10  0.586  0.049  0.108  0.5113  0.446  0.47
Blumental 1952   56  0.4260  0.0019  0.0934  0.1719  0.3223  0.23
Boshniakovich 1969   6  0.6014  0.0111  0.102  0.5416  0.512  0.52
Brailowsky 1960   69  0.3480  0.0086  0.0285  0.0285  0.0287  0.02
Bunin 1987   32  0.4911  0.0222  0.1417  0.3436  0.1818  0.25
Bunin 1987b   30  0.4912  0.0221  0.0718  0.3436  0.1815  0.25
Chiu 1999   77  0.3152  0.0064  0.0373  0.0364  0.0469  0.03
Cohen 1997   74  0.3273  0.0072  0.0460  0.0444  0.1051  0.06
Cortot 1951   18  0.5415  0.0112  0.1113  0.4311  0.467  0.44
Csalog 1996   67  0.3650  0.0085  0.0381  0.0366  0.0475  0.03
Czerny 1949   51  0.4257  0.0068  0.0379  0.0361  0.0477  0.03
Czerny 1990   15  0.5474  0.0043  0.0543  0.1157  0.0549  0.07
Duchoud 2007   50  0.4385  0.0063  0.0378  0.0372  0.0479  0.03
Ezaki 2006   41  0.4786  0.0067  0.0375  0.0381  0.0366  0.03
Falvay 1989   47  0.4376  0.0070  0.0377  0.0376  0.0371  0.03
Farrell 1958   49  0.439  0.0325  0.0827  0.2128  0.2720  0.24
Ferenczy 1958   34  0.4865  0.0050  0.0646  0.0622  0.3533  0.14
Fliere 1977   5  0.6018  0.0113  0.109  0.5040  0.1219  0.24
Fou 1978   62  0.4041  0.0053  0.0454  0.0467  0.0461  0.04
Francois 1956   36  0.4839  0.0047  0.0553  0.0578  0.0365  0.04
Friedman 1923   85  0.2137  0.0032  0.0640  0.1224  0.3027  0.19
Friedman 1923b   84  0.2135  0.0031  0.0539  0.1225  0.2926  0.19
Friedman 1930   54  0.421  0.131  0.1310  0.508  0.541  0.52
Garcia 2007   82  0.2569  0.0075  0.0458  0.0449  0.0656  0.05
Garcia 2007b   86  0.1761  0.0074  0.0284  0.0238  0.2052  0.06
Gierzod 1998   19  0.5267  0.0037  0.0628  0.2062  0.0538  0.10
Gornostaeva 1994   28  0.4968  0.0051  0.0549  0.0549  0.0557  0.05
Groot 1988   12  0.5746  0.0039  0.0631  0.1847  0.0543  0.09
Harasiewicz 1955   59  0.4148  0.0038  0.0635  0.1765  0.0446  0.08
Hatto 1993   76  0.3131  0.0035  0.0633  0.1864  0.0445  0.08
Hatto 1997   78  0.3075  0.0036  0.0738  0.1451  0.0544  0.08
Horowitz 1949   55  0.4229  0.0060  0.0363  0.0381  0.0374  0.03
Indjic 1988   75  0.3124  0.0134  0.0532  0.1856  0.0540  0.09
Kapell 1951   2  0.627  0.045  0.131  0.5522  0.434  0.49
Kissin 1993   7  0.594  0.117  0.1216  0.4033  0.2613  0.32
Kushner 1989   22  0.5154  0.0045  0.0551  0.0564  0.0462  0.04
Luisada 1991   58  0.4142  0.0062  0.0369  0.0381  0.0367  0.03
Lushtak 2004   31  0.4923  0.0116  0.1011  0.4541  0.1417  0.25
Malcuzynski 1961   1  0.6221  0.0114  0.1012  0.4343  0.1222  0.23
Magaloff 1978   3  0.6128  0.0015  0.1114  0.4346  0.0729  0.17
Magin 1975   48  0.4317  0.0159  0.0376  0.0363  0.0472  0.03
Michalowski 1933   38  0.4733  0.0018  0.1015  0.418  0.459  0.43
Milkina 1970   45  0.4477  0.0073  0.0457  0.0470  0.0463  0.04
Mohovich 1999   20  0.5258  0.0040  0.0625  0.2274  0.0442  0.09
Moravec 1969   26  0.5022  0.0148  0.0550  0.0529  0.2037  0.10
Morozova 2008   68  0.3549  0.0077  0.0366  0.0374  0.0376  0.03
Neighaus 1950   24  0.5162  0.0024  0.0719  0.3441  0.1325  0.21
Niedzielski 1931   57  0.4116  0.0155  0.0456  0.0449  0.0560  0.04
Ohlsson 1999   21  0.5120  0.0146  0.0648  0.0662  0.0454  0.05
Osinska 1989   13  0.5747  0.0017  0.1020  0.3418  0.3411  0.34
Pachmann 1927   63  0.4019  0.0123  0.0823  0.2531  0.2516  0.25
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   44  0.4638  0.0044  0.0644  0.1144  0.1235  0.11
Pierdomenico 2008   60  0.4143  0.0065  0.0455  0.0447  0.0653  0.05
Poblocka 1999   4  0.613  0.133  0.137  0.5218  0.368  0.43
Rabcewiczowa 1932   43  0.4732  0.0049  0.0647  0.0628  0.2934  0.13
Rachmaninoff 1923   79  0.2970  0.0076  0.0367  0.0382  0.0370  0.03
Rangell 2001   16  0.5436  0.0020  0.0821  0.3137  0.1821  0.24
Richter 1976   37  0.4863  0.0052  0.0745  0.0734  0.1736  0.11
Rosen 1989   39  0.4753  0.0030  0.0530  0.2037  0.1628  0.18
Rosenthal 1930   61  0.4189  0.0069  0.0362  0.0358  0.0480  0.03
Rosenthal 1931   81  0.2687  0.0080  0.0283  0.0272  0.0390  0.02
Rosenthal 1931b   80  0.2778  0.0081  0.0365  0.0368  0.0385  0.03
Rosenthal 1931c   35  0.4825  0.0129  0.0541  0.1234  0.2232  0.16
Rosenthal 1931d   71  0.3381  0.0079  0.0380  0.0359  0.0484  0.03
Rossi 2007   83  0.2482  0.0078  0.0459  0.0440  0.0950  0.06
Rubinstein 1939   87  0.1679  0.0088  0.0288  0.0273  0.0388  0.02
Rubinstein 1952   27  0.5055  0.0056  0.0361  0.0349  0.0758  0.05
Rubinstein 1966   42  0.4764  0.0054  0.0552  0.0547  0.0655  0.05
Schilhawsky 1960   29  0.4926  0.0028  0.0524  0.2334  0.2224  0.22
Shebanova 2002   17  0.548  0.0410  0.1022  0.3038  0.2314  0.26
Smith 1975   11  0.5710  0.036  0.134  0.5429  0.2710  0.38
Sokolov 2002   33  0.4859  0.0058  0.0371  0.0365  0.0468  0.03
Sztompka 1959   8  0.595  0.074  0.173  0.5410  0.483  0.51
Tomsic 1995   25  0.5034  0.0041  0.0636  0.1552  0.0539  0.09
Uninsky 1932   40  0.4771  0.0026  0.0626  0.2239  0.1231  0.16
Uninsky 1971   23  0.5127  0.0027  0.0729  0.2043  0.1530  0.17
Wasowski 1980   46  0.4340  0.0061  0.0368  0.0349  0.0659  0.04
Zak 1937   72  0.3388  0.0083  0.0282  0.0287  0.0389  0.02
Zak 1951   73  0.3390  0.0082  0.0372  0.0384  0.0373  0.03
Random 1   90  -0.0251  0.0090  0.0190  0.0133  0.1864  0.04
Random 2   88  0.0666  0.0087  0.0287  0.026  0.4241  0.09
Random 3   89  0.0283  0.0089  0.0189  0.0143  0.0882  0.03

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).