Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.2455  0.0058  0.0471  0.0474  0.0379  0.03
Anderszewski 2003   71  0.1864  0.0055  0.0557  0.0581  0.0361  0.04
Ashkenazy 1981   9  0.383  0.093  0.157  0.6336  0.2311  0.38
Bacha 2000   40  0.266  0.0415  0.0935  0.3228  0.2718  0.29
Badura 1965   64  0.1934  0.0071  0.0555  0.0563  0.0464  0.04
Barbosa 1983   56  0.2276  0.0048  0.0651  0.0672  0.0449  0.05
Biret 1990   75  0.1542  0.0076  0.0381  0.0387  0.0289  0.02
Blet 2003   14  0.3516  0.0119  0.1016  0.5434  0.2710  0.38
Block 1995   53  0.2344  0.0040  0.0742  0.2168  0.0442  0.09
Blumental 1952   68  0.1926  0.0052  0.0648  0.0680  0.0366  0.04
Boshniakovich 1969   1  0.411  0.251  0.241  0.7631  0.286  0.46
Brailowsky 1960   87  0.0086  0.0088  0.0188  0.0187  0.0290  0.01
Bunin 1987   49  0.2429  0.0051  0.0747  0.0778  0.0352  0.05
Bunin 1987b   54  0.2377  0.0053  0.0461  0.0486  0.0374  0.03
Chiu 1999   52  0.2387  0.0063  0.0380  0.0383  0.0371  0.03
Cohen 1997   72  0.1756  0.0078  0.0462  0.0483  0.0382  0.03
Cortot 1951   46  0.2421  0.0128  0.0929  0.3621  0.3912  0.37
Csalog 1996   66  0.1943  0.0069  0.0560  0.0577  0.0360  0.04
Czerny 1949   80  0.1388  0.0080  0.0467  0.0473  0.0462  0.04
Czerny 1990   41  0.2630  0.0041  0.0841  0.2175  0.0443  0.09
Duchoud 2007   74  0.1674  0.0079  0.0463  0.0469  0.0463  0.04
Ezaki 2006   85  0.0978  0.0085  0.0378  0.0387  0.0286  0.02
Falvay 1989   77  0.1567  0.0073  0.0385  0.0379  0.0372  0.03
Farrell 1958   82  0.1261  0.0074  0.0383  0.0381  0.0288  0.02
Ferenczy 1958   86  0.0545  0.0086  0.0386  0.0380  0.0377  0.03
Fliere 1977   13  0.3649  0.0017  0.1313  0.5771  0.0429  0.15
Fou 1978   50  0.2423  0.0039  0.0938  0.2867  0.0440  0.11
Francois 1956   38  0.2617  0.0132  0.0836  0.3228  0.2719  0.29
Friedman 1923   25  0.3135  0.0031  0.1325  0.4336  0.2416  0.32
Friedman 1923b   22  0.3241  0.0030  0.0924  0.4439  0.2315  0.32
Friedman 1930   19  0.3315  0.0220  0.1018  0.5331  0.2414  0.36
Garcia 2007   18  0.3320  0.0118  0.1115  0.5527  0.319  0.41
Garcia 2007b   26  0.3136  0.0023  0.1020  0.4943  0.1222  0.24
Gierzod 1998   39  0.2680  0.0042  0.0940  0.2163  0.0541  0.10
Gornostaeva 1994   62  0.2033  0.0062  0.0376  0.0386  0.0383  0.03
Groot 1988   20  0.3339  0.0024  0.0822  0.4768  0.0432  0.14
Harasiewicz 1955   29  0.3047  0.0037  0.0839  0.2655  0.0639  0.12
Hatto 1993   16  0.3410  0.035  0.164  0.6654  0.0723  0.21
Hatto 1997   45  0.2559  0.0036  0.1032  0.3574  0.0438  0.12
Horowitz 1949   34  0.2727  0.0046  0.0652  0.0684  0.0359  0.04
Indjic 1988   15  0.359  0.034  0.153  0.6843  0.1417  0.31
Kapell 1951   36  0.2768  0.0044  0.0644  0.1259  0.0644  0.08
Kissin 1993   3  0.402  0.172  0.252  0.7521  0.561  0.65
Kushner 1989   17  0.3457  0.0021  0.1017  0.5359  0.0527  0.16
Luisada 1991   30  0.3018  0.0127  0.0921  0.4867  0.0528  0.15
Lushtak 2004   65  0.1970  0.0054  0.0465  0.0476  0.0381  0.03
Malcuzynski 1961   7  0.3924  0.0010  0.125  0.6557  0.0524  0.18
Magaloff 1978   28  0.3025  0.0014  0.1214  0.5644  0.1221  0.26
Magin 1975   6  0.3913  0.0213  0.1219  0.5271  0.0431  0.14
Michalowski 1933   12  0.3712  0.0222  0.1023  0.4513  0.447  0.44
Milkina 1970   73  0.1782  0.0072  0.0556  0.0584  0.0356  0.04
Mohovich 1999   69  0.1975  0.0056  0.0746  0.0776  0.0450  0.05
Moravec 1969   63  0.2072  0.0067  0.0554  0.0582  0.0353  0.04
Morozova 2008   48  0.2485  0.0064  0.0374  0.0372  0.0476  0.03
Neighaus 1950   11  0.374  0.066  0.156  0.6421  0.415  0.51
Niedzielski 1931   21  0.3219  0.0126  0.1028  0.4152  0.0530  0.14
Ohlsson 1999   24  0.3246  0.0029  0.0931  0.3571  0.0436  0.12
Osinska 1989   55  0.2228  0.0065  0.0373  0.0382  0.0369  0.03
Pachmann 1927   2  0.407  0.049  0.109  0.6013  0.533  0.56
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   4  0.3914  0.0211  0.1111  0.5920  0.444  0.51
Pierdomenico 2008   8  0.385  0.058  0.1212  0.598  0.552  0.57
Poblocka 1999   83  0.1140  0.0057  0.0377  0.0380  0.0370  0.03
Rabcewiczowa 1932   70  0.1889  0.0077  0.0375  0.0378  0.0373  0.03
Rachmaninoff 1923   79  0.1353  0.0075  0.0372  0.0385  0.0287  0.02
Rangell 2001   33  0.2863  0.0033  0.0734  0.3454  0.0534  0.13
Richter 1976   5  0.3932  0.0012  0.1410  0.6038  0.2213  0.36
Rosen 1989   44  0.2550  0.0060  0.0469  0.0466  0.0465  0.04
Rosenthal 1930   76  0.1590  0.0083  0.0384  0.0378  0.0380  0.03
Rosenthal 1931   84  0.1084  0.0084  0.0382  0.0383  0.0375  0.03
Rosenthal 1931b   78  0.1465  0.0081  0.0468  0.0479  0.0385  0.03
Rosenthal 1931c   61  0.2083  0.0059  0.0470  0.0470  0.0467  0.04
Rosenthal 1931d   81  0.1271  0.0082  0.0379  0.0381  0.0384  0.03
Rossi 2007   42  0.2622  0.0143  0.0843  0.1716  0.4420  0.27
Rubinstein 1939   60  0.2081  0.0070  0.0558  0.0581  0.0354  0.04
Rubinstein 1952   37  0.2762  0.0045  0.0653  0.0687  0.0368  0.04
Rubinstein 1966   35  0.2758  0.0038  0.0833  0.3567  0.0437  0.12
Schilhawsky 1960   43  0.2652  0.0047  0.0945  0.0971  0.0446  0.06
Shebanova 2002   23  0.3254  0.0025  0.0927  0.4350  0.0725  0.17
Smith 1975   67  0.1931  0.0049  0.0650  0.0665  0.0447  0.05
Sokolov 2002   32  0.2837  0.0034  0.0837  0.2959  0.0535  0.12
Sztompka 1959   10  0.388  0.047  0.138  0.6136  0.308  0.43
Tomsic 1995   58  0.2266  0.0068  0.0559  0.0583  0.0358  0.04
Uninsky 1932   31  0.2948  0.0035  0.1130  0.3650  0.0533  0.13
Uninsky 1971   51  0.2451  0.0050  0.0649  0.0675  0.0448  0.05
Wasowski 1980   27  0.3111  0.0216  0.0926  0.4350  0.0626  0.16
Zak 1937   59  0.2138  0.0066  0.0464  0.0457  0.0555  0.04
Zak 1951   57  0.2269  0.0061  0.0466  0.0480  0.0457  0.04
Random 1   88  0.0060  0.0087  0.0287  0.0223  0.3445  0.08
Random 2   90  -0.0273  0.0090  0.0190  0.0144  0.1178  0.03
Random 3   89  -0.0179  0.0089  0.0189  0.0122  0.2951  0.05

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).