Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7243  0.0011  0.228  0.5338  0.2417  0.36
Anderszewski 2003   39  0.6067  0.0056  0.0565  0.0587  0.0279  0.03
Ashkenazy 1981   37  0.6010  0.0319  0.0813  0.4728  0.2418  0.34
Bacha 2000   70  0.4734  0.0065  0.0472  0.0484  0.0373  0.03
Badura 1965   26  0.6426  0.0022  0.0819  0.3725  0.4311  0.40
Barbosa 1983   86  0.2084  0.0081  0.0375  0.0379  0.0378  0.03
Biret 1990   61  0.5135  0.0062  0.0466  0.0486  0.0383  0.03
Blet 2003   43  0.5964  0.0052  0.0562  0.0547  0.0752  0.06
Block 1995   71  0.4644  0.0058  0.0559  0.0564  0.0468  0.04
Blumental 1952   69  0.4958  0.0035  0.0639  0.1584  0.0348  0.07
Boshniakovich 1969   1  0.7817  0.019  0.136  0.5420  0.467  0.50
Brailowsky 1960   64  0.5147  0.0070  0.0378  0.0372  0.0374  0.03
Bunin 1987   52  0.5627  0.0026  0.0922  0.287  0.5113  0.38
Bunin 1987b   53  0.5620  0.0125  0.0921  0.297  0.5112  0.38
Chiu 1999   79  0.4045  0.0064  0.0470  0.0470  0.0375  0.03
Cohen 1997   87  0.1829  0.0071  0.0381  0.0378  0.0382  0.03
Cortot 1951   46  0.5987  0.0053  0.0556  0.0576  0.0471  0.04
Csalog 1996   74  0.4274  0.0068  0.0561  0.0557  0.0466  0.04
Czerny 1949   11  0.713  0.113  0.179  0.5318  0.486  0.50
Czerny 1990   33  0.6169  0.0050  0.0650  0.0679  0.0369  0.04
Duchoud 2007   56  0.5531  0.0045  0.0747  0.0715  0.3135  0.15
Ezaki 2006   54  0.5654  0.0057  0.0557  0.0576  0.0357  0.04
Falvay 1989   83  0.3068  0.0087  0.0285  0.0275  0.0388  0.02
Farrell 1958   77  0.4150  0.0077  0.0377  0.0372  0.0477  0.03
Ferenczy 1958   34  0.6181  0.0036  0.0640  0.1530  0.1534  0.15
Fliere 1977   10  0.7171  0.0021  0.0817  0.4248  0.0536  0.14
Fou 1978   32  0.6133  0.0034  0.0634  0.1958  0.0442  0.09
Francois 1956   29  0.6218  0.0151  0.0745  0.0744  0.0946  0.08
Friedman 1923   36  0.6036  0.0023  0.0826  0.2729  0.3821  0.32
Friedman 1923b   40  0.6061  0.0024  0.0829  0.2731  0.3720  0.32
Friedman 1930   27  0.6432  0.0027  0.0928  0.2726  0.4119  0.33
Garcia 2007   28  0.6378  0.0044  0.0643  0.1154  0.0547  0.07
Garcia 2007b   19  0.6728  0.0015  0.0816  0.4328  0.3115  0.37
Gierzod 1998   13  0.6949  0.0020  0.0815  0.4445  0.0930  0.20
Gornostaeva 1994   12  0.6948  0.0039  0.1032  0.2026  0.2031  0.20
Groot 1988   78  0.4062  0.0079  0.0467  0.0486  0.0384  0.03
Harasiewicz 1955   21  0.6751  0.0016  0.0914  0.4432  0.1724  0.27
Hatto 1993   60  0.5388  0.0018  0.0927  0.2741  0.1332  0.19
Hatto 1997   59  0.5579  0.0014  0.0825  0.2740  0.1529  0.20
Horowitz 1949   24  0.6570  0.0028  0.1120  0.3427  0.4114  0.37
Indjic 1988   57  0.5541  0.0012  0.0924  0.2841  0.1628  0.21
Kapell 1951   16  0.6912  0.0213  0.0918  0.4134  0.1326  0.23
Kissin 1993   23  0.6556  0.0037  0.0923  0.2862  0.0437  0.11
Kushner 1989   20  0.6715  0.0140  0.0836  0.1873  0.0444  0.08
Luisada 1991   62  0.5159  0.0055  0.0558  0.0576  0.0459  0.04
Lushtak 2004   72  0.4489  0.0069  0.0652  0.0677  0.0367  0.04
Malcuzynski 1961   22  0.659  0.0331  0.0637  0.1720  0.2727  0.21
Magaloff 1978   73  0.4337  0.0080  0.0560  0.0587  0.0361  0.04
Magin 1975   6  0.744  0.085  0.132  0.6217  0.404  0.50
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   25  0.6575  0.0049  0.0553  0.0574  0.0364  0.04
Mohovich 1999   55  0.5680  0.0066  0.0468  0.0486  0.0381  0.03
Moravec 1969   75  0.4116  0.0176  0.0471  0.0459  0.0558  0.04
Morozova 2008   49  0.5757  0.0048  0.0746  0.0763  0.0456  0.05
Neighaus 1950   8  0.7311  0.037  0.1611  0.5219  0.428  0.47
Niedzielski 1931   44  0.5921  0.0147  0.0649  0.0657  0.0455  0.05
Ohlsson 1999   15  0.6963  0.0017  0.1212  0.4829  0.2716  0.36
Osinska 1989   45  0.5982  0.0059  0.0555  0.0583  0.0360  0.04
Pachmann 1927   31  0.6142  0.0061  0.0469  0.0426  0.2539  0.10
Paderewski 1930   18  0.6714  0.0233  0.0730  0.2623  0.3222  0.29
Perlemuter 1992   51  0.5785  0.0043  0.0544  0.1051  0.0449  0.06
Pierdomenico 2008   76  0.4183  0.0078  0.0474  0.0450  0.0654  0.05
Poblocka 1999   7  0.745  0.084  0.185  0.5715  0.463  0.51
Rabcewiczowa 1932   30  0.628  0.0332  0.0633  0.2036  0.1433  0.17
Rachmaninoff 1923   58  0.5523  0.0054  0.0554  0.0580  0.0362  0.04
Rangell 2001   63  0.5113  0.0260  0.0563  0.0532  0.2241  0.10
Richter 1976   42  0.5946  0.0029  0.0835  0.1822  0.4523  0.28
Rosen 1989   17  0.6872  0.0038  0.0738  0.1541  0.0838  0.11
Rosenthal 1930   48  0.5865  0.0063  0.0564  0.0529  0.1543  0.09
Rosenthal 1931   66  0.5138  0.0074  0.0376  0.0348  0.0565  0.04
Rosenthal 1931b   65  0.5140  0.0073  0.0379  0.0365  0.0485  0.03
Rosenthal 1931c   68  0.5030  0.0072  0.0382  0.0347  0.0572  0.04
Rosenthal 1931d   67  0.5022  0.0075  0.0473  0.0460  0.0570  0.04
Rossi 2007   81  0.3286  0.0085  0.0288  0.0285  0.0387  0.02
Rubinstein 1939   84  0.2952  0.0082  0.0380  0.0380  0.0376  0.03
Rubinstein 1952   85  0.2473  0.0083  0.0384  0.0383  0.0386  0.03
Rubinstein 1966   82  0.3155  0.0084  0.0383  0.0384  0.0380  0.03
Schilhawsky 1960   14  0.696  0.066  0.137  0.5420  0.475  0.50
Shebanova 2002   4  0.7524  0.0010  0.1710  0.5327  0.3010  0.40
Smith 1975   38  0.6039  0.0067  0.0651  0.0679  0.0363  0.04
Sokolov 2002   41  0.6019  0.0130  0.0631  0.2627  0.2225  0.24
Sztompka 1959   2  0.777  0.058  0.151  0.6223  0.329  0.45
Tomsic 1995   80  0.3290  0.0086  0.0287  0.0284  0.0289  0.02
Uninsky 1932   3  0.751  0.161  0.164  0.588  0.522  0.55
Uninsky 1971   5  0.752  0.142  0.243  0.615  0.491  0.55
Wasowski 1980   35  0.6066  0.0046  0.0748  0.0775  0.0453  0.05
Zak 1937   47  0.5876  0.0042  0.0642  0.1381  0.0350  0.06
Zak 1951   50  0.5753  0.0041  0.0541  0.1378  0.0351  0.06
Random 1   90  -0.2325  0.0090  0.0190  0.0149  0.0490  0.02
Random 2   88  -0.0677  0.0088  0.0286  0.026  0.4740  0.10
Random 3   89  -0.0660  0.0089  0.0289  0.0227  0.2945  0.08

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).