Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2577  0.0053  0.0554  0.0568  0.0465  0.04
Anderszewski 2003   43  0.2939  0.0046  0.0556  0.0567  0.0463  0.04
Ashkenazy 1981   4  0.3818  0.019  0.094  0.4910  0.464  0.47
Bacha 2000   38  0.3023  0.0156  0.0846  0.0881  0.0348  0.05
Badura 1965   35  0.315  0.0813  0.0735  0.1444  0.1024  0.12
Barbosa 1983   21  0.3464  0.0042  0.0540  0.1173  0.0345  0.06
Biret 1990   8  0.3635  0.0023  0.0821  0.3572  0.0335  0.10
Blet 2003   1  0.3914  0.027  0.099  0.4514  0.367  0.40
Block 1995   33  0.3210  0.0310  0.0914  0.4147  0.0716  0.17
Blumental 1952   29  0.3326  0.0115  0.078  0.4568  0.0518  0.15
Boshniakovich 1969   28  0.3366  0.0040  0.0539  0.1374  0.0346  0.06
Brailowsky 1960   30  0.3372  0.0027  0.0913  0.4143  0.1312  0.23
Bunin 1987   67  0.2467  0.0052  0.0945  0.0953  0.0541  0.07
Bunin 1987b   60  0.2578  0.0051  0.0557  0.0553  0.0551  0.05
Chiu 1999   75  0.1987  0.0071  0.0559  0.0573  0.0357  0.04
Cohen 1997   48  0.2832  0.0128  0.0933  0.1928  0.1814  0.18
Cortot 1951   81  0.1634  0.0086  0.0281  0.0278  0.0388  0.02
Csalog 1996   32  0.3217  0.0211  0.1112  0.4346  0.0715  0.17
Czerny 1949   86  0.1250  0.0087  0.0285  0.0288  0.0189  0.01
Czerny 1990   63  0.2451  0.0067  0.0473  0.0478  0.0378  0.03
Duchoud 2007   83  0.1570  0.0080  0.0283  0.0283  0.0287  0.02
Ezaki 2006   31  0.3273  0.0045  0.0651  0.0684  0.0354  0.04
Falvay 1989   25  0.334  0.094  0.125  0.4651  0.0517  0.15
Farrell 1958   69  0.2485  0.0081  0.0379  0.0384  0.0283  0.02
Ferenczy 1958   15  0.3463  0.0014  0.0711  0.4332  0.338  0.38
Fliere 1977   14  0.3579  0.0025  0.0826  0.3078  0.0426  0.11
Fou 1978   47  0.2853  0.0063  0.0555  0.0578  0.0360  0.04
Francois 1956   68  0.2448  0.0069  0.0566  0.0572  0.0468  0.04
Friedman 1923   59  0.2625  0.0154  0.0652  0.0641  0.1239  0.08
Friedman 1923b   50  0.2813  0.0248  0.0560  0.0538  0.1934  0.10
Friedman 1930   41  0.2915  0.0216  0.0716  0.4026  0.329  0.36
Garcia 2007   64  0.2429  0.0160  0.0468  0.0458  0.0566  0.04
Garcia 2007b   77  0.1860  0.0078  0.0376  0.0378  0.0381  0.03
Gierzod 1998   9  0.368  0.046  0.0817  0.3861  0.0423  0.12
Gornostaeva 1994   23  0.3430  0.0118  0.0619  0.3764  0.0425  0.12
Groot 1988   17  0.3412  0.0212  0.0915  0.4158  0.0521  0.14
Harasiewicz 1955   27  0.3328  0.0136  0.0532  0.2068  0.0437  0.09
Hatto 1993   34  0.3143  0.0026  0.0827  0.2885  0.0336  0.09
Hatto 1997   42  0.2961  0.0041  0.0544  0.0980  0.0353  0.05
Horowitz 1949   45  0.291  0.131  0.1310  0.439  0.523  0.47
Indjic 1988   44  0.2968  0.0037  0.0537  0.1385  0.0344  0.06
Kapell 1951   46  0.289  0.0335  0.0738  0.1375  0.0342  0.06
Kissin 1993   54  0.2654  0.0066  0.0470  0.0475  0.0462  0.04
Kushner 1989   56  0.2680  0.0064  0.0747  0.0785  0.0350  0.05
Luisada 1991   11  0.3516  0.0224  0.0818  0.3852  0.0520  0.14
Lushtak 2004   71  0.2358  0.0070  0.0563  0.0583  0.0367  0.04
Malcuzynski 1961   3  0.397  0.0420  0.0723  0.3268  0.0430  0.11
Magaloff 1978   52  0.2774  0.0058  0.0565  0.0580  0.0358  0.04
Magin 1975   55  0.2675  0.0061  0.0653  0.0678  0.0359  0.04
Michalowski 1933   85  0.1359  0.0085  0.0286  0.0279  0.0285  0.02
Milkina 1970   70  0.2388  0.0072  0.0469  0.0479  0.0373  0.03
Mohovich 1999   13  0.3569  0.0022  0.0722  0.3381  0.0333  0.10
Moravec 1969   19  0.3449  0.0019  0.0920  0.3559  0.0619  0.14
Morozova 2008   84  0.1376  0.0084  0.0287  0.0287  0.0286  0.02
Neighaus 1950   53  0.2636  0.0057  0.0748  0.0754  0.0547  0.06
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   36  0.3142  0.0055  0.0749  0.0754  0.0543  0.06
Osinska 1989   72  0.2331  0.0168  0.0471  0.0483  0.0369  0.03
Pachmann 1927   87  0.1289  0.0079  0.0282  0.0282  0.0284  0.02
Paderewski 1930   73  0.2133  0.0175  0.0472  0.0455  0.0561  0.04
Perlemuter 1992   78  0.1781  0.0050  0.0561  0.0563  0.0455  0.04
Pierdomenico 2008   82  0.1545  0.0082  0.0284  0.0277  0.0382  0.02
Poblocka 1999   57  0.2662  0.0062  0.0562  0.0573  0.0456  0.04
Rabcewiczowa 1932   51  0.2790  0.0049  0.0564  0.0586  0.0272  0.03
Rachmaninoff 1923   2  0.396  0.075  0.113  0.4928  0.326  0.40
Rangell 2001   74  0.1955  0.0077  0.0378  0.0378  0.0479  0.03
Richter 1976   26  0.3311  0.0244  0.0542  0.1079  0.0352  0.05
Rosen 1989   6  0.383  0.102  0.111  0.5240  0.2110  0.33
Rosenthal 1930   12  0.3527  0.0117  0.086  0.4617  0.512  0.48
Rosenthal 1931   39  0.2952  0.0032  0.0734  0.1734  0.2113  0.19
Rosenthal 1931b   24  0.342  0.103  0.112  0.528  0.561  0.54
Rosenthal 1931c   5  0.3820  0.018  0.087  0.4622  0.385  0.42
Rosenthal 1931d   40  0.2946  0.0021  0.0728  0.2631  0.2911  0.27
Rossi 2007   49  0.2824  0.0143  0.0543  0.0938  0.1428  0.11
Rubinstein 1939   79  0.1640  0.0083  0.0380  0.0383  0.0371  0.03
Rubinstein 1952   76  0.1982  0.0074  0.0475  0.0474  0.0380  0.03
Rubinstein 1966   65  0.2438  0.0065  0.0467  0.0486  0.0274  0.03
Schilhawsky 1960   61  0.2556  0.0073  0.0558  0.0581  0.0364  0.04
Shebanova 2002   58  0.2657  0.0038  0.0541  0.1159  0.0540  0.07
Smith 1975   80  0.1683  0.0076  0.0377  0.0384  0.0370  0.03
Sokolov 2002   7  0.3721  0.0133  0.0731  0.2148  0.0627  0.11
Sztompka 1959   18  0.3437  0.0039  0.0536  0.1447  0.0538  0.08
Tomsic 1995   20  0.3419  0.0134  0.0829  0.2561  0.0622  0.12
Uninsky 1932   66  0.2444  0.0059  0.0474  0.0481  0.0375  0.03
Uninsky 1971   22  0.3422  0.0129  0.0730  0.2459  0.0532  0.11
Wasowski 1980   37  0.3065  0.0047  0.0650  0.0672  0.0549  0.05
Zak 1937   16  0.3441  0.0031  0.0924  0.3261  0.0429  0.11
Zak 1951   10  0.3586  0.0030  0.0625  0.3072  0.0431  0.11
Random 1   89  -0.0771  0.0089  0.0289  0.0255  0.0477  0.03
Random 2   88  0.0147  0.0088  0.0288  0.0255  0.0476  0.03
Random 3   90  -0.1184  0.0090  0.0190  0.0183  0.0290  0.01

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).