Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.7932  0.0013  0.1511  0.5336  0.2617  0.37
Anderszewski 2003   14  0.752  0.0020  0.0936  0.3320  0.2723  0.30
Ashkenazy 1981   26  0.7118  0.0018  0.1026  0.4226  0.2718  0.34
Bacha 2000   41  0.6442  0.0046  0.0846  0.0861  0.0450  0.06
Badura 1965   19  0.7333  0.0040  0.0729  0.3925  0.4415  0.41
Barbosa 1983   53  0.5962  0.0066  0.0554  0.0538  0.1248  0.08
Biret 1990   61  0.5843  0.0064  0.0467  0.0484  0.0381  0.03
Blet 2003   55  0.5922  0.0055  0.0474  0.0458  0.0568  0.04
Block 1995   59  0.5863  0.0048  0.0558  0.0569  0.0472  0.04
Blumental 1952   62  0.5734  0.0045  0.0645  0.1265  0.0449  0.07
Boshniakovich 1969   32  0.6844  0.0030  0.1020  0.4626  0.3716  0.41
Brailowsky 1960   35  0.6528  0.0054  0.0555  0.0541  0.1347  0.08
Bunin 1987   74  0.4635  0.0051  0.0747  0.0729  0.2937  0.14
Bunin 1987b   75  0.4464  0.0050  0.0650  0.0630  0.2839  0.13
Chiu 1999   23  0.7265  0.0041  0.0941  0.2624  0.2528  0.25
Cohen 1997   78  0.3536  0.0086  0.0288  0.0268  0.0390  0.02
Cortot 1951   39  0.6466  0.0047  0.0556  0.0545  0.0851  0.06
Csalog 1996   88  0.2245  0.0081  0.0377  0.0383  0.0378  0.03
Czerny 1949   9  0.7946  0.006  0.176  0.6312  0.536  0.58
Czerny 1990   16  0.746  0.0021  0.0923  0.4437  0.1429  0.25
Duchoud 2007   73  0.4667  0.0072  0.0651  0.0666  0.0371  0.04
Ezaki 2006   7  0.8113  0.0014  0.0724  0.4318  0.3913  0.41
Falvay 1989   83  0.3047  0.0088  0.0383  0.0381  0.0286  0.02
Farrell 1958   42  0.6368  0.0060  0.0378  0.0356  0.0563  0.04
Ferenczy 1958   44  0.6269  0.0044  0.0644  0.1633  0.1435  0.15
Fliere 1977   11  0.785  0.0015  0.1021  0.4536  0.1925  0.29
Fou 1978   58  0.5848  0.0067  0.0563  0.0574  0.0464  0.04
Francois 1956   66  0.5370  0.0068  0.0564  0.0572  0.0476  0.04
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  1.001  0.991  0.981  0.991  0.991  0.99
Friedman 1930   2  0.953  0.002  0.762  0.831  0.872  0.85
Garcia 2007   46  0.6214  0.0056  0.0470  0.0454  0.0656  0.05
Garcia 2007b   43  0.6315  0.0042  0.1039  0.3174  0.0446  0.11
Gierzod 1998   29  0.7016  0.0019  0.0919  0.4745  0.1231  0.24
Gornostaeva 1994   60  0.5871  0.0052  0.0748  0.0766  0.0457  0.05
Groot 1988   69  0.5272  0.0070  0.0557  0.0569  0.0475  0.04
Harasiewicz 1955   12  0.7873  0.0022  0.0712  0.5232  0.1822  0.31
Hatto 1993   5  0.8610  0.004  0.235  0.694  0.645  0.66
Hatto 1997   4  0.8674  0.005  0.314  0.694  0.644  0.66
Horowitz 1949   31  0.6929  0.0025  0.0914  0.5122  0.4611  0.48
Indjic 1988   3  0.8723  0.003  0.273  0.704  0.653  0.67
Kapell 1951   64  0.5675  0.0039  0.0638  0.3369  0.0443  0.11
Kissin 1993   36  0.6549  0.0036  0.0627  0.4179  0.0344  0.11
Kushner 1989   47  0.6117  0.0065  0.0652  0.0680  0.0365  0.04
Luisada 1991   8  0.8024  0.0010  0.1618  0.4815  0.3514  0.41
Lushtak 2004   37  0.6525  0.0061  0.0473  0.0472  0.0379  0.03
Malcuzynski 1961   70  0.518  0.0023  0.0642  0.2324  0.2530  0.24
Magaloff 1978   65  0.5550  0.0069  0.0562  0.0558  0.0555  0.05
Magin 1975   38  0.6551  0.0032  0.0833  0.3744  0.0833  0.17
Michalowski 1933   51  0.6076  0.0026  0.0930  0.3827  0.2721  0.32
Milkina 1970   50  0.6052  0.0049  0.0561  0.0562  0.0466  0.04
Mohovich 1999   49  0.6077  0.0057  0.0466  0.0467  0.0574  0.04
Moravec 1969   76  0.3953  0.0080  0.0471  0.0448  0.0652  0.05
Morozova 2008   18  0.7378  0.0033  0.1032  0.3733  0.2226  0.29
Neighaus 1950   13  0.7879  0.009  0.168  0.5717  0.459  0.51
Niedzielski 1931   15  0.7419  0.0011  0.1415  0.509  0.5010  0.50
Ohlsson 1999   33  0.689  0.0035  0.0740  0.2854  0.0542  0.12
Osinska 1989   28  0.7180  0.0037  0.0631  0.3762  0.0441  0.12
Pachmann 1927   68  0.5237  0.0077  0.0376  0.0389  0.0288  0.02
Paderewski 1930   67  0.5381  0.0071  0.0649  0.0671  0.0367  0.04
Perlemuter 1992   48  0.6138  0.0058  0.0653  0.0655  0.0453  0.05
Pierdomenico 2008   79  0.3330  0.0076  0.0387  0.0364  0.0560  0.04
Poblocka 1999   56  0.5882  0.0043  0.1537  0.3364  0.0538  0.13
Rabcewiczowa 1932   71  0.4954  0.0073  0.0560  0.0588  0.0362  0.04
Rachmaninoff 1923   24  0.7226  0.0038  0.0835  0.3435  0.1432  0.22
Rangell 2001   87  0.2483  0.0078  0.0386  0.0369  0.0380  0.03
Richter 1976   54  0.5920  0.0029  0.0643  0.1825  0.4527  0.28
Rosen 1989   34  0.6639  0.0034  0.0834  0.3649  0.0636  0.15
Rosenthal 1930   77  0.3784  0.0075  0.0384  0.0387  0.0289  0.02
Rosenthal 1931   80  0.3155  0.0082  0.0380  0.0366  0.0477  0.03
Rosenthal 1931b   82  0.3056  0.0084  0.0379  0.0385  0.0383  0.03
Rosenthal 1931c   85  0.2857  0.0083  0.0382  0.0376  0.0384  0.03
Rosenthal 1931d   81  0.3127  0.0085  0.0475  0.0483  0.0382  0.03
Rossi 2007   63  0.5685  0.0074  0.0559  0.0557  0.0554  0.05
Rubinstein 1939   57  0.5821  0.0062  0.0469  0.0472  0.0461  0.04
Rubinstein 1952   86  0.2758  0.0079  0.0385  0.0377  0.0485  0.03
Rubinstein 1966   45  0.624  0.0063  0.0465  0.0449  0.0569  0.04
Schilhawsky 1960   27  0.7111  0.0024  0.0813  0.5229  0.4412  0.48
Shebanova 2002   30  0.6959  0.0027  0.0822  0.4478  0.0345  0.11
Smith 1975   52  0.6031  0.0053  0.0468  0.0458  0.0459  0.04
Sokolov 2002   72  0.4860  0.0059  0.0472  0.0456  0.0458  0.04
Sztompka 1959   21  0.7212  0.0031  0.0728  0.4073  0.0440  0.13
Tomsic 1995   84  0.2961  0.0087  0.0381  0.0389  0.0287  0.02
Uninsky 1932   22  0.7286  0.008  0.159  0.5614  0.478  0.51
Uninsky 1971   40  0.6487  0.007  0.137  0.5912  0.467  0.52
Wasowski 1980   25  0.7140  0.0028  0.0825  0.4327  0.1924  0.29
Zak 1937   17  0.7441  0.0017  0.1617  0.4930  0.2119  0.32
Zak 1951   20  0.7388  0.0016  0.1116  0.5028  0.2120  0.32
Average   6  0.817  0.0012  0.1710  0.5351  0.0534  0.16
Random 1   90  -0.2589  0.0089  0.0190  0.0136  0.1573  0.04
Random 2   89  -0.0890  0.0090  0.0289  0.0245  0.0770  0.04
Random 3   91  -0.2591  0.0091  0.0191  0.0184  0.0291  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).