Random 3

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  -0.1067  0.0064  0.0470  0.0489  0.0171  0.02
Anderszewski 2003   34  -0.068  0.0211  0.0915  0.3188  0.0210  0.08
Ashkenazy 1981   28  -0.0658  0.0024  0.0620  0.2687  0.0222  0.07
Bacha 2000   22  -0.0528  0.0044  0.0544  0.1088  0.0236  0.04
Badura 1965   23  -0.0516  0.0137  0.0535  0.1789  0.0231  0.06
Barbosa 1983   5  -0.013  0.113  0.181  0.6286  0.023  0.11
Biret 1990   38  -0.0724  0.0051  0.0455  0.0489  0.0178  0.02
Blet 2003   45  -0.0833  0.0048  0.0466  0.0489  0.0246  0.03
Block 1995   29  -0.0673  0.0029  0.0536  0.1789  0.0140  0.04
Blumental 1952   67  -0.1189  0.0073  0.0459  0.0489  0.0175  0.02
Boshniakovich 1969   12  -0.0312  0.0220  0.0724  0.2488  0.0221  0.07
Brailowsky 1960   51  -0.0838  0.0055  0.0457  0.0488  0.0242  0.03
Bunin 1987   6  -0.0154  0.0017  0.0618  0.2989  0.0134  0.05
Bunin 1987b   4  -0.0134  0.0016  0.0611  0.3389  0.0127  0.06
Chiu 1999   11  -0.0310  0.026  0.154  0.5488  0.025  0.10
Cohen 1997   52  -0.0851  0.0065  0.0376  0.0389  0.0176  0.02
Cortot 1951   2  0.004  0.092  0.163  0.5689  0.0124  0.07
Csalog 1996   32  -0.069  0.0228  0.0632  0.1789  0.0230  0.06
Czerny 1949   58  -0.0981  0.0052  0.0454  0.0490  0.0170  0.02
Czerny 1990   63  -0.1078  0.0058  0.0456  0.0489  0.0177  0.02
Duchoud 2007   1  0.051  0.231  0.222  0.5685  0.024  0.11
Ezaki 2006   53  -0.0856  0.0046  0.0545  0.0590  0.0151  0.02
Falvay 1989   76  -0.1223  0.0156  0.0449  0.0488  0.0155  0.02
Farrell 1958   41  -0.0721  0.0130  0.0534  0.1789  0.0137  0.04
Ferenczy 1958   81  -0.1479  0.0074  0.0458  0.0489  0.0168  0.02
Fliere 1977   35  -0.0750  0.0039  0.0640  0.1288  0.0141  0.03
Fou 1978   13  -0.0355  0.0019  0.0610  0.3588  0.028  0.08
Francois 1956   14  -0.0319  0.0112  0.0613  0.3388  0.0214  0.08
Friedman 1923   88  -0.1574  0.0090  0.0190  0.0190  0.0190  0.01
Friedman 1923b   87  -0.1575  0.0089  0.0189  0.0190  0.0186  0.01
Friedman 1930   74  -0.1263  0.0079  0.0379  0.0389  0.0166  0.02
Garcia 2007   9  -0.0235  0.0021  0.0528  0.2388  0.0220  0.07
Garcia 2007b   27  -0.0614  0.0141  0.0538  0.1388  0.0235  0.05
Gierzod 1998   55  -0.0885  0.0067  0.0472  0.0489  0.0172  0.02
Gornostaeva 1994   36  -0.0743  0.0049  0.0468  0.0489  0.0250  0.03
Groot 1988   7  -0.0145  0.0018  0.0712  0.3388  0.0212  0.08
Harasiewicz 1955   44  -0.0818  0.0110  0.079  0.3688  0.0213  0.08
Hatto 1993   84  -0.1464  0.0084  0.0282  0.0290  0.0188  0.01
Hatto 1997   85  -0.1483  0.0086  0.0381  0.0390  0.0167  0.02
Horowitz 1949   73  -0.1286  0.0078  0.0465  0.0490  0.0160  0.02
Indjic 1988   83  -0.1476  0.0085  0.0284  0.0290  0.0184  0.01
Kapell 1951   37  -0.077  0.048  0.095  0.4688  0.026  0.10
Kissin 1993   77  -0.1269  0.0066  0.0378  0.0390  0.0162  0.02
Kushner 1989   66  -0.1130  0.0070  0.0471  0.0490  0.0159  0.02
Luisada 1991   86  -0.1549  0.0077  0.0461  0.0489  0.0152  0.02
Lushtak 2004   69  -0.1190  0.0072  0.0460  0.0488  0.0249  0.03
Malcuzynski 1961   10  -0.0268  0.0015  0.0619  0.2889  0.0217  0.07
Magaloff 1978   60  -0.0965  0.0063  0.0463  0.0489  0.0154  0.02
Magin 1975   39  -0.0748  0.0050  0.0547  0.0588  0.0157  0.02
Michalowski 1933   18  -0.0436  0.0054  0.0452  0.0490  0.0161  0.02
Milkina 1970   49  -0.0871  0.0033  0.0533  0.1789  0.0138  0.04
Mohovich 1999   24  -0.0526  0.0022  0.0516  0.3188  0.0211  0.08
Moravec 1969   82  -0.1487  0.0081  0.0285  0.0290  0.0182  0.01
Morozova 2008   62  -0.1070  0.0062  0.0467  0.0489  0.0165  0.02
Neighaus 1950   47  -0.0866  0.0061  0.0377  0.0388  0.0279  0.02
Niedzielski 1931   79  -0.1361  0.0083  0.0283  0.0290  0.0183  0.01
Ohlsson 1999   21  -0.0527  0.0026  0.0623  0.2488  0.0219  0.07
Osinska 1989   71  -0.1182  0.0060  0.0450  0.0489  0.0153  0.02
Pachmann 1927   56  -0.096  0.059  0.0714  0.3389  0.0128  0.06
Paderewski 1930   50  -0.0811  0.0213  0.0539  0.1388  0.0233  0.05
Perlemuter 1992   59  -0.0929  0.0025  0.0531  0.1888  0.0225  0.06
Pierdomenico 2008   31  -0.0641  0.0027  0.0722  0.2588  0.0215  0.07
Poblocka 1999   80  -0.1313  0.0238  0.0541  0.1190  0.0143  0.03
Rabcewiczowa 1932   64  -0.1062  0.0071  0.0474  0.0490  0.0158  0.02
Rachmaninoff 1923   25  -0.0637  0.0043  0.0542  0.1189  0.0144  0.03
Rangell 2001   3  -0.0120  0.015  0.166  0.4689  0.0123  0.07
Richter 1976   43  -0.0715  0.0135  0.0630  0.2089  0.0139  0.04
Rosen 1989   54  -0.0847  0.0059  0.0475  0.0490  0.0174  0.02
Rosenthal 1930   61  -0.0922  0.0175  0.0462  0.0490  0.0173  0.02
Rosenthal 1931   90  -0.1572  0.0087  0.0287  0.0290  0.0185  0.01
Rosenthal 1931b   72  -0.1231  0.0082  0.0380  0.0390  0.0180  0.02
Rosenthal 1931c   89  -0.1532  0.0088  0.0188  0.0190  0.0189  0.01
Rosenthal 1931d   70  -0.1188  0.0080  0.0286  0.0290  0.0187  0.01
Rossi 2007   26  -0.0617  0.0140  0.0537  0.1688  0.0226  0.06
Rubinstein 1939   68  -0.1146  0.0068  0.0469  0.0489  0.0156  0.02
Rubinstein 1952   48  -0.0844  0.0053  0.0453  0.0490  0.0181  0.02
Rubinstein 1966   42  -0.0759  0.0047  0.0548  0.0588  0.0247  0.03
Schilhawsky 1960   78  -0.1357  0.0076  0.0464  0.0490  0.0164  0.02
Shebanova 2002   75  -0.1277  0.0069  0.0473  0.0489  0.0169  0.02
Smith 1975   16  -0.0452  0.0045  0.0546  0.0588  0.0245  0.03
Sokolov 2002   40  -0.0780  0.0032  0.0621  0.2590  0.0132  0.05
Sztompka 1959   33  -0.0684  0.0036  0.0529  0.2088  0.0229  0.06
Tomsic 1995   15  -0.0460  0.0023  0.0526  0.2389  0.0218  0.07
Uninsky 1932   46  -0.0825  0.0042  0.0543  0.1089  0.0148  0.03
Uninsky 1971   57  -0.0940  0.0057  0.0451  0.0489  0.0163  0.02
Wasowski 1980   19  -0.0553  0.0014  0.058  0.3688  0.027  0.08
Zak 1937   30  -0.0642  0.0034  0.0527  0.2388  0.0216  0.07
Zak 1951   20  -0.0539  0.0031  0.0617  0.3088  0.029  0.08
Random 1   8  -0.022  0.134  0.197  0.3717  0.361  0.36
Random 2   17  -0.045  0.067  0.0925  0.2416  0.332  0.28
Random 3   target  targettarget  targettarget  targettarget  targettarget  targettarget  target

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).